Disruptive Trends in Computer Aided Diagnosis

Disruptive Trends in Computer Aided Diagnosis
Author: Rik Das,Sudarshan Nandy,Siddhartha Bhattacharyya
Publsiher: Chapman & Hall/CRC
Total Pages: 196
Release: 2021
ISBN 10: 9781003045816
ISBN 13: 1003045812
Language: EN, FR, DE, ES & NL

Disruptive Trends in Computer Aided Diagnosis Book Review:

"This book is an attempt to collate 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"--

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.

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.

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.

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.

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 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.

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

Computer aided Diagnosis in Medical Imaging

Computer aided Diagnosis in Medical Imaging
Author: Kunio Doi
Publsiher: Excerpta Medica
Total Pages: 563
Release: 1999
ISBN 10: 1928374650XXX
ISBN 13: UOM:39015042003395
Language: EN, FR, DE, ES & NL

Computer aided Diagnosis in Medical Imaging Book Review:

Hardbound. Over the last decade or so, many investigators have carried out basic studies and clinical applications toward the development of modern computerized schemes for detection and characterization of lesions in radiologic images, based on computer vision and artificial intelligence. These methods and techniques are generally called computer-aided diagnosis (CAD) schemes. The development of CAD has now reached a new phase, since the first commercial unit of detection of breast lesion in mammograms was approved in June 1998 by the FDA for marketing and sale for clinical use.This book, Computer-Aided Diagnosis in Medical Imaging, presents papers from the First International Workshop on Computer-Aided Diagnosis held on September, 1998 at the University of Chicago Downtown Center. The meeting provided a forum for leading researchers and practitioners in this rapidly expanding field, encompassing automated image analysis, quantitation of im

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.

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

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.

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

Advances in Computerized Analysis in Clinical and Medical Imaging

Advances in Computerized Analysis in Clinical and Medical Imaging
Author: J Dinesh Peter,Steven Lawrence Fernandes,Carlos Eduardo Thomaz
Publsiher: CRC Press
Total Pages: 264
Release: 2019-11-08
ISBN 10: 0429820488
ISBN 13: 9780429820489
Language: EN, FR, DE, ES & NL

Advances in Computerized Analysis in Clinical and Medical Imaging Book Review:

Advances in Computerized Analysis in Clinical and Medical Imaging book is devoted for spreading of knowledge through the publication of scholarly research, primarily in the fields of clinical & medical imaging. The types of chapters consented include those that cover the development and implementation of algorithms and strategies based on the use of geometrical, statistical, physical, functional to solve the following types of problems, using medical image datasets: visualization, feature extraction, segmentation, image-guided surgery, representation of pictorial data, statistical shape analysis, computational physiology and telemedicine with medical images. This book highlights annotations for all the medical and clinical imaging researchers’ a fundamental advances of clinical and medical image analysis techniques. This book will be a good source for all the medical imaging and clinical research professionals, outstanding scientists, and educators from all around the world for network of knowledge sharing. This book will comprise high quality disseminations of new ideas, technology focus, research results and discussions on the evolution of Clinical and Medical image analysis techniques for the benefit of both scientific and industrial developments. Features: Research aspects in clinical and medical image processing Human Computer Interaction and interface in imaging diagnostics Intelligent Imaging Systems for effective analysis using machine learning algorithms Clinical and Scientific Evaluation of Imaging Studies Computer-aided disease detection and diagnosis Clinical evaluations of new technologies Mobility and assistive devices for challenged and elderly people This book serves as a reference book for researchers and doctoral students in the clinical and medical imaging domain including radiologists. Industries that manufacture imaging modality systems and develop optical systems would be especially interested in the challenges and solutions provided in the book. Professionals and practitioners in the medical and clinical imaging may be benefited directly from authors’ experiences.

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

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 Image Computing and Computer Assisted Intervention MICCAI 2015

Medical Image Computing and Computer Assisted Intervention    MICCAI 2015
Author: Nassir Navab,Joachim Hornegger,William M. Wells,Alejandro Frangi
Publsiher: Springer
Total Pages: 720
Release: 2015-09-28
ISBN 10: 3319245716
ISBN 13: 9783319245713
Language: EN, FR, DE, ES & NL

Medical Image Computing and Computer Assisted Intervention MICCAI 2015 Book Review:

The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions.

Smart Healthcare Systems

Smart Healthcare Systems
Author: Adwitiya Sinha,Megha Rathi
Publsiher: CRC Press
Total Pages: 234
Release: 2019-08-08
ISBN 10: 0429670281
ISBN 13: 9780429670282
Language: EN, FR, DE, ES & NL

Smart Healthcare Systems Book Review:

About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.

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.

Handbook of Medical Image Computing and Computer Assisted Intervention

Handbook of Medical Image Computing and Computer Assisted Intervention
Author: Kevin Zhou,Daniel Rueckert,Gabor Fichtinger
Publsiher: Academic Press
Total Pages: 1074
Release: 2019-10-18
ISBN 10: 0128165863
ISBN 13: 9780128165867
Language: EN, FR, DE, ES & NL

Handbook of Medical Image Computing and Computer Assisted Intervention Book Review:

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention