Advanced Machine Vision Paradigms for Medical Image Analysis

Advanced Machine Vision Paradigms for Medical Image Analysis
Author: Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
Publsiher: Academic Press
Total Pages: 308
Release: 2020-08-11
ISBN 10: 0128192968
ISBN 13: 9780128192962
Language: EN, FR, DE, ES & NL

Advanced Machine Vision Paradigms for Medical Image Analysis Book Review:

Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis

Computer Vision and Machine Intelligence in Medical Image Analysis

Computer Vision and Machine Intelligence in Medical Image Analysis
Author: Mousumi Gupta,Debanjan Konar,Siddhartha Bhattacharyya,Sambhunath Biswas
Publsiher: Springer Nature
Total Pages: 150
Release: 2019-08-28
ISBN 10: 9811387982
ISBN 13: 9789811387982
Language: EN, FR, DE, ES & NL

Computer Vision and Machine Intelligence in Medical Image Analysis Book Review:

This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26–27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.

Computer Vision in Advanced Control Systems 5

Computer Vision in Advanced Control Systems 5
Author: Margarita N. Favorskaya,Lakhmi C. Jain
Publsiher: Springer Nature
Total Pages: 321
Release: 2019-12-07
ISBN 10: 3030337952
ISBN 13: 9783030337957
Language: EN, FR, DE, ES & NL

Computer Vision in Advanced Control Systems 5 Book Review:

This book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students, academics, researchers, and software developers working in the areas of digital video processing and computer vision technologies.

Machine Learning Paradigms

Machine Learning Paradigms
Author: George A. Tsihrintzis,Lakhmi C. Jain
Publsiher: Springer Nature
Total Pages: 430
Release: 2020-08-24
ISBN 10: 3030497240
ISBN 13: 9783030497248
Language: EN, FR, DE, ES & NL

Machine Learning Paradigms Book Review:

At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance. This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.

Natural User Interfaces in Medical Image Analysis

Natural User Interfaces in Medical Image Analysis
Author: Marek R. Ogiela,Tomasz Hachaj
Publsiher: Springer
Total Pages: 288
Release: 2014-06-07
ISBN 10: 3319078003
ISBN 13: 9783319078007
Language: EN, FR, DE, ES & NL

Natural User Interfaces in Medical Image Analysis Book Review:

This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample CT images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Features: describes the most important methods and algorithms used for image analysis; examines the fundamentals of cognitive computer image analysis for computer-aided diagnosis and semantic image description; presents original approaches for the semantic analysis of CT perfusion and CT angiography images of the brain and carotid artery; discusses techniques for creating 3D visualisations of large datasets; reviews natural user interfaces in medical imaging systems, including GDL technology.

Advanced Computational Intelligence Paradigms in Healthcare 3

Advanced Computational Intelligence Paradigms in Healthcare   3
Author: Margarita Sordo,Sachin Vaidya
Publsiher: Springer
Total Pages: 257
Release: 2008-08-20
ISBN 10: 3540776621
ISBN 13: 9783540776628
Language: EN, FR, DE, ES & NL

Advanced Computational Intelligence Paradigms in Healthcare 3 Book Review:

This volume details the latest state-of-the-art research on computational intelligence paradigms in healthcare in the intelligent agent environment. The book presents seven chapters selected from the rapidly growing application areas of computational intelligence to healthcare systems. These include intelligent synthetic characters, man-machine interface, menu generators, analysis of user acceptance, pictures archiving and communication systems.

Advanced Algorithmic Approaches to Medical Image Segmentation

Advanced Algorithmic Approaches to Medical Image Segmentation
Author: S. Kamaledin Setarehdan,Sameer Singh
Publsiher: Springer Science & Business Media
Total Pages: 636
Release: 2001-12-11
ISBN 10: 9781852333898
ISBN 13: 1852333898
Language: EN, FR, DE, ES & NL

Advanced Algorithmic Approaches to Medical Image Segmentation Book Review:

Medical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound. This book focuses primarily on model-based segmentation techniques, which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors working in industry and academia, and presents new material.

Computational Intelligence Paradigms in Advanced Pattern Classification

Computational Intelligence Paradigms in Advanced Pattern Classification
Author: Marek R. Ogiela,Lakhmi C. Jain
Publsiher: Springer Science & Business Media
Total Pages: 200
Release: 2012-01-13
ISBN 10: 3642240488
ISBN 13: 9783642240485
Language: EN, FR, DE, ES & NL

Computational Intelligence Paradigms in Advanced Pattern Classification Book Review:

This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting recognition, medical image analysis and interpretation, development of cognitive systems for image computer understanding, moving object detection, advanced image filtration and intelligent multi-object labelling and classification. It is directed to the scientists, application engineers, professors, professors and students will find this book useful.

Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques

Biomedical Image Analysis and Machine Learning Technologies  Applications and Techniques
Author: Gonzalez, Fabio A.,Romero, Eduardo
Publsiher: IGI Global
Total Pages: 390
Release: 2009-12-31
ISBN 10: 1605669571
ISBN 13: 9781605669571
Language: EN, FR, DE, ES & NL

Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques Book Review:

Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.

Computer Analysis of Images and Patterns

Computer Analysis of Images and Patterns
Author: Mario Vento,Gennaro Percannella,Sara Colantonio,Daniela Giorgi,Bogdan J. Matuszewski,Hamideh Kerdegari,Manzoor Razaak
Publsiher: Springer Nature
Total Pages: 129
Release: 2019-08-22
ISBN 10: 3030299309
ISBN 13: 9783030299309
Language: EN, FR, DE, ES & NL

Computer Analysis of Images and Patterns Book Review:

This book constitutes the refereed proceedings of two workshops held at the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019, and the First Workshop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019. The 12 papers presented in this volume were carefully reviewed and selected from 16 submissions and focus on all aspects of visual computing and machine learning for biomedical applications, and deep-learning based computer vision for UAV.

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies
Author: Sarfraz, Muhammad
Publsiher: IGI Global
Total Pages: 312
Release: 2014-04-30
ISBN 10: 1466660317
ISBN 13: 9781466660311
Language: EN, FR, DE, ES & NL

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies Book Review:

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Advanced Imaging in Biology and Medicine

Advanced Imaging in Biology and Medicine
Author: Ch.W. Sensen,Benedikt Hallgrimsson
Publsiher: Springer Science & Business Media
Total Pages: 445
Release: 2008-12-03
ISBN 10: 3540689931
ISBN 13: 9783540689935
Language: EN, FR, DE, ES & NL

Advanced Imaging in Biology and Medicine Book Review:

A picture says more than a thousand words. This is something that we all know to be true. Imaging has been important since the early days of medicine and bi- ogy, as seen in the anatomical studies of Leonardo Da Vinci or Andreas Vesalius. More than 100 years ago, the ?rst noninvasive imaging technologies, such as K- rad Roentgen’s X-ray technology,were applied to the medical ?eld—and while still crude—revolutionized medical diagnosis. Today, every patient will be exposed to some kind of advanced imaging technology such as medical resonance imaging, computed tomography or four-dimensional ultrasound during their lifetime. Many diseases, such as brain tumors, are initially diagnosed solely by imaging, and most of the surgical planning relies on the patient imagery. 4D ultrasound is available to expecting parents who wish to create unique early memories of the new baby, and it may soon be used for the morphometric diagnosis of malformations that may one day be treatable—inutero! Light and electron microscopy are unequal brethren, which have contributed to most of our knowledge about the existence and organization of cells, tissues and microorganisms. Every student of biology or medicine is introduced to the fascinating images of the microcosm. New advances have converted these im- ing technologies, which were considered by many to be antiquated, into powerful tools for research in systems biology and related ?elds.

Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges

Machine Learning and Big Data Analytics Paradigms  Analysis  Applications and Challenges
Author: Aboul Ella Hassanien,Ashraf Darwish
Publsiher: Springer Nature
Total Pages: 648
Release: 2020-12-14
ISBN 10: 303059338X
ISBN 13: 9783030593384
Language: EN, FR, DE, ES & NL

Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges Book Review:

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Neutrosophic Set in Medical Image Analysis

Neutrosophic Set in Medical Image Analysis
Author: Yanhui Guo,Amira S. Ashour
Publsiher: Academic Press
Total Pages: 370
Release: 2019-08-08
ISBN 10: 0128181494
ISBN 13: 9780128181492
Language: EN, FR, DE, ES & NL

Neutrosophic Set in Medical Image Analysis Book Review:

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set’s novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis. Introduces the mathematical model and concepts of neutrosophic theory and methods Highlights the different techniques of neutrosophic theory, focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing and machine learning Shows how NS techniques can be applied to medical image denoising, segmentation and classification Provides challenges and future directions in neutrosophic set based medical image analysis

Pattern Recognition and Signal Analysis in Medical Imaging

Pattern Recognition and Signal Analysis in Medical Imaging
Author: Anke Meyer-Baese,Volker J. Schmid
Publsiher: Elsevier
Total Pages: 466
Release: 2014-03-21
ISBN 10: 0124166156
ISBN 13: 9780124166158
Language: EN, FR, DE, ES & NL

Pattern Recognition and Signal Analysis in Medical Imaging Book Review:

Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging. New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications

Advances in Reasoning Based Image Processing Intelligent Systems

Advances in Reasoning Based Image Processing Intelligent Systems
Author: Roumen Kountchev,Kazumi Nakamatsu
Publsiher: Springer Science & Business Media
Total Pages: 456
Release: 2012-01-13
ISBN 10: 3642246931
ISBN 13: 9783642246937
Language: EN, FR, DE, ES & NL

Advances in Reasoning Based Image Processing Intelligent Systems Book Review:

The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems. The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R&D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.

Medical and Biological Image Analysis

Medical and Biological Image Analysis
Author: Anonim
Publsiher: BoD – Books on Demand
Total Pages: 134
Release: 2018-07-04
ISBN 10: 1789233305
ISBN 13: 9781789233308
Language: EN, FR, DE, ES & NL

Medical and Biological Image Analysis Book Review:

This book deals with medical image analysis methods. In particular, it contains two significant chapters on image segmentation as well as some selected examples of the application of image analysis and processing methods. Despite the significant development of information technology methods used in modern image analysis and processing algorithms, the segmentation process remains open. This is mainly due to intra-patient variability and/or scene diversity. Segmentation is equally difficult in the case of ultrasound imaging and depends on the location of the probe or the contact force. Regardless of the imaging method, segmentation must be tailored for a specific application in almost every case. These types of application areas for various imaging methods are included in this book.

Advanced Computational Intelligence in Healthcare 7

Advanced Computational Intelligence in Healthcare 7
Author: Ilias Maglogiannis,Sheryl Brahnam,Lakhmi C. Jain
Publsiher: Springer Nature
Total Pages: 161
Release: 2020-03-23
ISBN 10: 3662611147
ISBN 13: 9783662611142
Language: EN, FR, DE, ES & NL

Advanced Computational Intelligence in Healthcare 7 Book Review:

This book presents state-of-the-art works and systematic reviews in the emerging field of computational intelligence (CI) in electronic health care. The respective chapters present surveys and practical examples of artificial intelligence applications in the areas of Human-Machine Interface (HMI) and affective computing, machine learning, big health data and visualization analytics, computer vision and medical image analysis. The book also addresses new and emerging topics in CI for health care such as the utilization of Social Media (SM) and the introduction of new intelligent paradigms in the security and privacy domains, which are critical for the health sector. The chapters, while of course not exhaustively addressing all the possible aspects of the aforementioned areas, are indicative of the dynamic nature of interdisciplinary research being pursued. Accordingly, the book is intended not only for researchers in the respective fields, but also for medical and administrative personnel working in the health sector, as well as managers and stakeholders responsible for making strategic decisions and defining public health policies.

Computer Vision in Medical Imaging

Computer Vision in Medical Imaging
Author: Chi-hau Chen
Publsiher: World Scientific
Total Pages: 412
Release: 2014
ISBN 10: 981446094X
ISBN 13: 9789814460941
Language: EN, FR, DE, ES & NL

Computer Vision in Medical Imaging Book Review:

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.

Front End Vision and Multi Scale Image Analysis

Front End Vision and Multi Scale Image Analysis
Author: Bart M. Haar Romeny
Publsiher: Springer Science & Business Media
Total Pages: 466
Release: 2008-10-24
ISBN 10: 140208840X
ISBN 13: 9781402088407
Language: EN, FR, DE, ES & NL

Front End Vision and Multi Scale Image Analysis Book Review:

Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence. Three major classes of optic flow computation techniques can discriminated (see for a good overview Beauchemin and Barron IBeauchemin19951): gradient based (or differential) methods; phase based (or frequency domain) methods; correlation based (or area) methods; feature point (or sparse data) tracking methods; In this chapter we compute the optic flow as a dense optic flow field with a multi scale differential method. The method, originally proposed by Florack and Nielsen [Florack1998a] is known as the Multiscale Optic Flow Constrain Equation (MOFCE). This is a scale space version of the well known computer vision implementation of the optic flow constraint equation, as originally proposed by Horn and Schunck [Horn1981]. This scale space variation, as usual, consists of the introduction of the aperture of the observation in the process. The application to stereo has been described by Maas et al. [Maas 1995a, Maas 1996a]. Of course, difficulties arise when structure emerges or disappears, such as with occlusion, cloud formation etc. Then knowledge is needed about the processes and objects involved. In this chapter we focus on the scale space approach to the local measurement of optic flow, as we may expect the visual front end to do. 17. 2 Motion detection with pairs of receptive fields As a biologically motivated start, we begin with discussing some neurophysiological findings in the visual system with respect to motion detection.