Disruptive Trends in Computer Aided Diagnosis

Disruptive Trends in Computer Aided Diagnosis
Author: Rik Das,Sudarshan Nandy,Siddhartha Bhattacharyya
Publsiher: CRC Press
Total Pages: 218
Release: 2021-09-29
ISBN 10: 1000414698
ISBN 13: 9781000414691
Language: EN, FR, DE, ES & NL

Disruptive Trends in Computer Aided Diagnosis Book Review:

Disruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions in the domain of computer aided diagnosis to leverage balancing of sustainable ecology. The volume focuses on designing efficient algorithms for proposing CAD systems to mitigate the challenges of critical illnesses at an early stage. State-of-the-art novel methods are explored for envisaging automated diagnosis systems thereby overriding the limitations due to lack of training data, sample annotation, region of interest identification, proper segmentation and so on. The assorted techniques addresses the challenges encountered in existing systems thereby facilitating accurate patient healthcare and diagnosis. Features: An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students, researchers and medical practitioners. The volume would come to the benefit of both post-graduate students and aspiring researchers in the field of medical informatics, computer science and electronics and communication engineering. In addition, the volume is also intended to serve as a guiding factor for the medical practitioners and radiologists in accurate diagnosis of diseases.

Lung Imaging and Computer Aided Diagnosis

Lung Imaging and Computer Aided Diagnosis
Author: Ayman El-Baz,Jasjit S. Suri
Publsiher: CRC Press
Total Pages: 496
Release: 2011-08-23
ISBN 10: 1439845573
ISBN 13: 9781439845578
Language: EN, FR, DE, ES & NL

Lung Imaging and Computer Aided Diagnosis Book Review:

Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient’s chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because the current technology—namely, needle biopsy and bronchoscopy—fail to diagnose those cases. However, the analysis of small, indeterminate lung masses is fraught with many technical difficulties. Often patients must be followed for years with serial CT scans in order to establish a diagnosis, but inter-scan variability, slice selection artifacts, differences in degree of inspiration, and scan angles can make comparing serial scans unreliable. Lung Imaging and Computer Aided Diagnosis brings together researchers in pulmonary image analysis to present state-of-the-art image processing techniques for detecting and diagnosing lung cancer at an early stage. The book addresses variables and discrepancies in scans and proposes ways of evaluating small lung masses more consistently to allow for more accurate measurement of growth rates and analysis of shape and appearance of the detected lung nodules. Dealing with all aspects of image analysis of the data, this book examines: Lung segmentation Nodule segmentation Vessels segmentation Airways segmentation Lung registration Detection of lung nodules Diagnosis of detected lung nodules Shape and appearance analysis of lung nodules Contributors also explore the effective use of these methodologies for diagnosis and therapy in clinical applications. Arguably the first book of its kind to address and evaluate image-based diagnostic approaches for the early diagnosis of lung cancer, Lung Imaging and Computer Aided Diagnosis constitutes a valuable resource for biomedical engineers, researchers, and clinicians in lung disease imaging.

Computer Aided Detection and Diagnosis in Medical Imaging

Computer Aided Detection and Diagnosis in Medical Imaging
Author: Qiang Li,Robert M. Nishikawa
Publsiher: Taylor & Francis
Total Pages: 454
Release: 2015-03-17
ISBN 10: 1439871779
ISBN 13: 9781439871775
Language: EN, FR, DE, ES & NL

Computer Aided Detection and Diagnosis in Medical Imaging Book Review:

Improve the Accurate Detection and Diagnosis of Cancer and Other Diseases Despite the expansion of the CAD field in recent decades, there is currently no single book dedicated to the development and use of CAD systems. Filling this need, Computer-Aided Detection and Diagnosis in Medical Imaging covers the major technical advances and methodologies shaping the development and clinical utility of CAD systems in breast imaging, chest imaging, abdominal imaging, and other emerging applications. After a historical overview of CAD, the book is divided into four sections. The first section presents CAD technologies in breast imaging, which is the most advanced area of CAD application. The second section discusses CAD technologies in chest and abdominal imaging. The third section explores emerging CAD technologies in a wide range of imaging modalities designed to address a variety of diseases. The final section describes the current use of CAD systems in clinical practice as well as how CAD will play an important role in quantitative image biomarkers and imaging genomics research. This book brings together existing and emerging CAD approaches at a level understandable to students, CAD system developers, basic scientists, and physician scientists. Newcomers to CAD research will learn about fundamental aspects in the process of CAD system development. Developers of CAD systems will gain insight on designing new or improved CAD systems. Experienced researchers will get up-to-date information on the latest CAD technologies.

A Systematic Survey of Computer Aided Diagnosis in Medicine Past and Present Developments

A Systematic Survey of Computer Aided Diagnosis in Medicine  Past and Present Developments
Author: Juri Yanase,Evangelos Triantaphyllou
Publsiher: Infinite Study
Total Pages: 51
Release: 2022
ISBN 10: 1928374650XXX
ISBN 13: 9182736450XXX
Language: EN, FR, DE, ES & NL

A Systematic Survey of Computer Aided Diagnosis in Medicine Past and Present Developments Book Review:

Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort expended in the interface of medicine and computer science. As some CAD systems in medicine try to emulate the diagnostic decision-making process of medical experts, they can be considered as expert systems in medicine.

Diabetes and Cardiovascular Disease

Diabetes and Cardiovascular Disease
Author: Ayman S. El-Baz,Jasjit S. Suri
Publsiher: Elsevier
Total Pages: 372
Release: 2021-03-23
ISBN 10: 0128174293
ISBN 13: 9780128174296
Language: EN, FR, DE, ES & NL

Diabetes and Cardiovascular Disease Book Review:

Computer-Assisted Diagnosis: Diabetes and Cardiovascular Disease brings together multifaceted information on research and clinical applications from an academic, clinical, bioengineering and bioinformatics perspective. The editors provide a stellar, diverse list of authors to explore this interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and heart disease need an authoritative reference to reduce the amount of time spent on source-searching so they can spend more time on actual research and clinical application. This reference accomplishes this with contributions by authors from around the world. Provides valuable information for academic clinicians, researchers, bioengineers and industry on diabetes and cardiovascular disease Discusses the impact of diabetes on cardiovascular disease Covers statistical classification techniques and risk stratification

Medical Image Analysis and Informatics

Medical Image Analysis and Informatics
Author: Paulo Mazzoncini de Azevedo-Marques,Arianna Mencattini,Marcello Salmeri,Rangaraj M. Rangayyan
Publsiher: CRC Press
Total Pages: 518
Release: 2017-11-23
ISBN 10: 1498753205
ISBN 13: 9781498753203
Language: EN, FR, DE, ES & NL

Medical Image Analysis and Informatics Book Review:

With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.

Machine Learning in Computer Aided Diagnosis Medical Imaging Intelligence and Analysis

Machine Learning in Computer Aided Diagnosis  Medical Imaging Intelligence and Analysis
Author: Suzuki, Kenji
Publsiher: IGI Global
Total Pages: 524
Release: 2012-01-31
ISBN 10: 1466600608
ISBN 13: 9781466600607
Language: EN, FR, DE, ES & NL

Machine Learning in Computer Aided Diagnosis Medical Imaging Intelligence and Analysis Book Review:

"This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images"--Provided by publisher.

Computer Aided Glaucoma Diagnosis System

Computer Aided Glaucoma Diagnosis System
Author: Arwa Ahmed Gasm Elseid,Alnazier Osman Mohammed Hamza
Publsiher: CRC Press
Total Pages: 154
Release: 2020-05-14
ISBN 10: 1000070050
ISBN 13: 9781000070057
Language: EN, FR, DE, ES & NL

Computer Aided Glaucoma Diagnosis System Book Review:

Glaucoma is the second leading cause of blindness globally. Early detection and treatment can prevent its progression to avoid total blindness. This book discusses and reviews current approaches for detection and examines new approaches for diagnosing glaucoma using CAD system. Computer-Aided Glaucoma Diagnosis System, Chapter 1 provides a brief introduction of the disease and current methodology used to diagnose it today. Chapter 2 presents a review of the medical background of the disease, followed by a theoretical and mathematical background used in fundus image processing. Chapter 3 is a literature review about segmentation and feature extraction. Chapter 4 describes the formulation of the proposed methodology. In Chapter 5, the results of optic disc and optic cup segmentation algorithm are presented, the feature extraction and selection method, experimental results and performance evaluations of the classifier are given. Chapter 6 presents the conclusions and discussion of the future potential for the diagnostic system. This book is intended for biomedical engineers, computer science students, ophthalmologists and radiologists looking to develop a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and improve diagnosis of the disease. Key Features Discusses a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and presents an algorithm that detects optic disc and optic cup Assists ophthalmologists and researchers to test a new diagnostic method that reduces the effort and time of the doctors and cost to the patients Discusses techniques to reduce human error and minimize the miss detection rate and facilitate early diagnosis and treatment Presents algorithms to detect cup and disc color, shape features and RNFL texture features Dr. Arwa Ahmed Gasm Elseid is an assistant professor, Department of Biomedical Engineering, Sudan University of Science and Technology, Khartoum, Sudan. Dr. Alnazier Osman Mohammed Hamza is professor of Medical Imaging, College of Engineering, Sudan University of Sciences and Technology, Khartoum, Sudan.

Computer aided Technologies

Computer aided Technologies
Author: Razvan Udroiu
Publsiher: BoD – Books on Demand
Total Pages: 170
Release: 2016-12-07
ISBN 10: 953512787X
ISBN 13: 9789535127871
Language: EN, FR, DE, ES & NL

Computer aided Technologies Book Review:

The aim of this book is to present the latest applications, trends, and developments of computer-aided technologies (CAx). Computer-aided technologies are the core of product lifecycle management (PLM) and human lifecycle management (HUM). This book has seven chapters, organized in two sections: "Computer-Aided Technologies in Engineering" and "Computer-Aided Technologies in Medicine." The first section treats the different aspects of PLM, including design, simulations and analysis, manufacturing, production planning, and quality assurance. In the second part of the book are presented CAx applications in medicine focused on clinical decision, diagnosis, and biosensor design. CAx plays a key role in a variety of engineering and medical applications, bringing a lot of benefits in product life cycle, extending and improving human life.

Diabetes and Fundus OCT

Diabetes and Fundus OCT
Author: Ayman S. El-Baz,Jasjit S. Suri
Publsiher: Elsevier
Total Pages: 434
Release: 2020-04-17
ISBN 10: 0128174404
ISBN 13: 9780128174401
Language: EN, FR, DE, ES & NL

Diabetes and Fundus OCT Book Review:

Diabetes and Fundus OCT brings together a stellar cast of authors who review the computer-aided diagnostic (CAD) systems developed to diagnose non-proliferative diabetic retinopathy in an automated fashion using Fundus and OCTA images. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to help reduce the amount of time spent on source-searching and instead focus on actual research and the clinical application. This reference depicts the current clinical understanding of diabetic retinopathy, along with the many scientific advances in understanding this condition. As the role of optical coherence tomography (OCT) in the assessment and management of diabetic retinopathy has become significant in understanding the vireo retinal relationships and the internal architecture of the retina, this information is more critical than ever. Includes unique information for academic clinicians, researchers and bioengineers Provides insights needed to understand the imaging modalities involved, the unmet clinical need that is being addressed, and the engineering and technical approaches applied Brings together details on the retinal vasculature in diabetics as imaged by optical coherence tomography angiography and automated detection of retinal disease

Computer Aided Intervention and Diagnostics in Clinical and Medical Images

Computer Aided Intervention and Diagnostics in Clinical and Medical Images
Author: J. Dinesh Peter,Steven Lawrence Fernandes,Carlos Eduardo Thomaz,Serestina Viriri
Publsiher: Springer
Total Pages: 301
Release: 2019-01-01
ISBN 10: 3030040615
ISBN 13: 9783030040611
Language: EN, FR, DE, ES & NL

Computer Aided Intervention and Diagnostics in Clinical and Medical Images Book Review:

This book is a compendium of the ICCMIA 2018 proceedings, which provides an ideal reference for all medical imaging researchers and professionals to explore innovative methods and analyses on imaging technologies for better prospective patient care. This work serves as an exclusive source for new computer assisted clinical and medical developments in imaging diagnosis, intervention and analysis. It includes articles on computer assisted medical scanning techniques, computer-aided diagnosis, robotic surgery and imaging, imaging genomics, clinically-oriented imaging physics and informatics, augmented-reality medical visualization, imaging modalities, computerized radiology, oncology, and surgery. Moreover, information on non-medical imaging that has medical applications such as multi-photon microscopy and confocal, photoacoustic imaging, optical microendoscope, infra-red radiation, and other imaging modalities is also represented.

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis
Author: Nilanjan Dey
Publsiher: Academic Press
Total Pages: 218
Release: 2019-07-31
ISBN 10: 0128180056
ISBN 13: 9780128180051
Language: EN, FR, DE, ES & NL

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis Book Review:

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications Introduces several techniques for medical image processing and analysis for CAD systems design

Handbook of Medical Imaging

Handbook of Medical Imaging
Author: Anonim
Publsiher: Academic Press
Total Pages: 901
Release: 2000-10-09
ISBN 10: 0080533108
ISBN 13: 9780080533100
Language: EN, FR, DE, ES & NL

Handbook of Medical Imaging Book Review:

In recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging. The Handbook of Medical Imaging is the first comprehensive compilation of the concepts and techniques used to analyze and manipulate medical images after they have been generated or digitized. The Handbook is organized in six sections that relate to the main functions needed for processing: enhancement, segmentation, quantification, registration, visualization as well as compression storage and telemedicine. * Internationally renowned authors(Johns Hopkins, Harvard, UCLA, Yale, Columbia, UCSF) * Includes imaging and visualization * Contains over 60 pages of stunning, four-color images

Medical Imaging and Computer Aided Diagnosis

Medical Imaging and Computer Aided Diagnosis
Author: Ruidan Su,Han Liu
Publsiher: Springer Nature
Total Pages: 244
Release: 2020-07-02
ISBN 10: 9811551995
ISBN 13: 9789811551994
Language: EN, FR, DE, ES & NL

Medical Imaging and Computer Aided Diagnosis Book Review:

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.

Proceedings of 2021 International Conference on Medical Imaging and Computer Aided Diagnosis MICAD 2021

Proceedings of 2021 International Conference on Medical Imaging and Computer Aided Diagnosis  MICAD 2021
Author: Ruidan Su,Yu-Dong Zhang,Han Liu
Publsiher: Springer Nature
Total Pages: 439
Release: 2021-08-14
ISBN 10: 9811638802
ISBN 13: 9789811638800
Language: EN, FR, DE, ES & NL

Proceedings of 2021 International Conference on Medical Imaging and Computer Aided Diagnosis MICAD 2021 Book Review:

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.

Prostate Cancer Imaging Computer Aided Diagnosis Prognosis and Intervention

Prostate Cancer Imaging  Computer Aided Diagnosis  Prognosis  and Intervention
Author: Anant Madabhushi,Jason Dowling,Pingkun Yan,Aaron Fenster,Purang Abolmaesumi,Nobuhiko Hata
Publsiher: Springer
Total Pages: 146
Release: 2010-09-15
ISBN 10: 3642159893
ISBN 13: 9783642159893
Language: EN, FR, DE, ES & NL

Prostate Cancer Imaging Computer Aided Diagnosis Prognosis and Intervention Book Review:

Prostatic adenocarcinoma (CAP) is the second most common malignancy with an estimated 190,000 new cases in the USA in 2010 (Source: American Cancer Society), and is the most frequently diagnosed cancer among men. If CAP is caught early, men have a high, five-year survival rate. Unfortunately there is no standardized ima- based screening protocol for early detection of CAP (unlike for breast cancers). In the USA high levels of prostate-specific antigen (PSA) warrant a trans-rectal ultrasound (TRUS) biopsy to enable histologic confirmation of presence or absence of CAP. With recent rapid developments in multi-parametric radiological imaging te- niques (spectroscopy, dynamic contrast enhanced MR imaging, PET, RF ultrasound), some of these functional and metabolic imaging modalities are allowing for definition of high resolution, multi-modal signatures for prostate cancer in vivo. Distinct com- tational and technological challenges for multi-modal data registration and classifi- tion still remain in leveraging this multi-parametric data for directing therapy and optimizing biopsy. Additionally, with the recent advent of whole slide digital sc- ners, digitized histopathology has become amenable to computerized image analysis. While it is known that outcome of prostate cancer (prognosis) is highly correlated with Gleason grade, pathologists often have difficulty in distinguishing between interme- ate Gleason grades from histopathology. Development of computerized image analysis methods for automated Gleason grading and predicting outcome on histopathology have to confront the significant computational challenges associated with working these very large digitized images.

Lung Imaging and Computer Aided Diagnosis

Lung Imaging and Computer Aided Diagnosis
Author: Ayman El-Baz,Jasjit S. Suri
Publsiher: CRC Press
Total Pages: 496
Release: 2016-04-19
ISBN 10: 1439845581
ISBN 13: 9781439845585
Language: EN, FR, DE, ES & NL

Lung Imaging and Computer Aided Diagnosis Book Review:

Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient’s chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because the current technology—namely, needle biopsy and bronchoscopy—fail to diagnose those cases. However, the analysis of small, indeterminate lung masses is fraught with many technical difficulties. Often patients must be followed for years with serial CT scans in order to establish a diagnosis, but inter-scan variability, slice selection artifacts, differences in degree of inspiration, and scan angles can make comparing serial scans unreliable. Lung Imaging and Computer Aided Diagnosis brings together researchers in pulmonary image analysis to present state-of-the-art image processing techniques for detecting and diagnosing lung cancer at an early stage. The book addresses variables and discrepancies in scans and proposes ways of evaluating small lung masses more consistently to allow for more accurate measurement of growth rates and analysis of shape and appearance of the detected lung nodules. Dealing with all aspects of image analysis of the data, this book examines: Lung segmentation Nodule segmentation Vessels segmentation Airways segmentation Lung registration Detection of lung nodules Diagnosis of detected lung nodules Shape and appearance analysis of lung nodules Contributors also explore the effective use of these methodologies for diagnosis and therapy in clinical applications. Arguably the first book of its kind to address and evaluate image-based diagnostic approaches for the early diagnosis of lung cancer, Lung Imaging and Computer Aided Diagnosis constitutes a valuable resource for biomedical engineers, researchers, and clinicians in lung disease imaging.

Diabetes and Retinopathy

Diabetes and Retinopathy
Author: Ayman S. El-Baz,Jasjit S. Suri
Publsiher: Elsevier
Total Pages: 246
Release: 2020-05-12
ISBN 10: 0128174390
ISBN 13: 9780128174395
Language: EN, FR, DE, ES & NL

Diabetes and Retinopathy Book Review:

Diabetes and Retinopathy brings together the multifaceted information about the research and clinical application from academic, clinical, bioengineering and bioinformatics perspectives. The editors bring together a stellar cast of authors to pull together this diverse and interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and retinopathy need an authoritative reference to bring this multidisciplinary field together to reduce the amount of time spent on source-searching and more time on actual research and the clinical application. This reference depicts the current clinical understanding of DR as well as the many scientific advances in understanding this condition. Provides valuable information for academic clinicians, researchers, bioengineers and industry on diabetes and retinopathy Discusses the impact of diabetic retinopathy, a major cause of new-onset visual loss in all the industrialized nations Covers statistical classification techniques and risk stratification

Computer Aided Design and Diagnosis Methods for Biomedical Applications

Computer Aided Design and Diagnosis Methods for Biomedical Applications
Author: Varun Bajaj,G. R. Sinha
Publsiher: CRC Press
Total Pages: 368
Release: 2021
ISBN 10: 9781003121152
ISBN 13: 1003121152
Language: EN, FR, DE, ES & NL

Computer Aided Design and Diagnosis Methods for Biomedical Applications Book Review:

Computer-aided design (CAD) plays a key role in improving biomedical systems for various applications. It also helps in the detection, identification, predication, analysis, and classification of diseases, in the management of chronic conditions, and in the delivery of health services. This book discusses the uses of CAD to solve real-world problems and challenges in biomedical systems with the help of appropriate case studies and research simulation results. Aiming to overcome the gap between CAD and biomedical science, it describes behaviors, concepts, fundamentals, principles, case studies, and future directions for research, including the automatic identification of related disorders using CAD. Features: Proposes CAD for the study of biomedical signals to understand physiology and to improve healthcare systems' ability to diagnose and identify health disorders. Presents concepts of CAD for biomedical modalities in different disorders. Discusses design and simulation examples, issues, and challenges. Illustrates bio-potential signals and their appropriate use in studying different disorders. Includes case studies, practical examples, and research directions. Computer-Aided Design and Diagnosis Methods for Biometrical Applications is aimed at researchers, graduate students in biomedical engineering, image processing, biomedical technology, medical imaging, and health informatics.

Computer aided Diagnosis of Pulmonary Embolism in Opacified CT Images

Computer aided Diagnosis of Pulmonary Embolism in Opacified CT Images
Author: Raphaël Sebbe
Publsiher: Presses univ. de Louvain
Total Pages: 168
Release: 2007
ISBN 10: 9782874630989
ISBN 13: 2874630985
Language: EN, FR, DE, ES & NL

Computer aided Diagnosis of Pulmonary Embolism in Opacified CT Images Book Review:

Pulmonary embolism (PE) is an extremely common and highly lethal condition that is a leading cause of death in all age groups. Over the past 10 years, computed tomography (CT) scanners have gained acceptance as a minimally invasive method for diagnosing PE. In this book, a framework for computer-aided diagnosis of PE in contrast-enhanced CT images is presented. It consists of a combination of a method for segmenting the pulmonary arteries (PA), emboli detection methods as well as a scheme for evaluating their performances. The segmentation of the PA serves one of the clot detection methods, and is carried out through a region growing method that makes use of a priori knowledge of vessel topology. Two different approaches for clot detection are proposed: the first one performs clot detection by analyzing the concavities in the segmentation of the pulmonary arterial tree. It works in a semi-automatic way and it enables the detection of thrombi in the larger sections of the PA. The second method does not make use of PA segmentation and is thus fully automatic, enabling detection of clots farther in the vessels. The combination of these methods provides a robust detection technique that can be used as a safeguard by radiologists, or even as preliminary computer-aided diagnosis (CAD) tool. The evaluation of the method is also discussed, and a scheme for measuring its performance is proposed, including a practical approach to making reference detection data, or ground truths, by radiologists.