Advances In Computational Techniques For Biomedical Image Analysis

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Advances in Computational Techniques for Biomedical Image Analysis

Deepika Koundal,Savita Gupta
Advances in Computational Techniques for Biomedical Image Analysis Book PDF

Author : Deepika Koundal,Savita Gupta
Publisher : Academic Press
Page : 324 pages
File Size : 51,6 Mb
Release : 2020-05-28
Category : Computers
ISBN : 9780128204115

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Advances in Computational Techniques for Biomedical Image Analysis by Deepika Koundal,Savita Gupta Pdf

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. Covers various challenges and common research issues related to biomedical image analysis Describes advanced computational approaches for biomedical image analysis Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization Explores cloud based medical imaging together with medical imaging security and forensics

Medical Image Analysis

Alejandro Frangi,Jerry Prince,Milan Sonka
Medical Image Analysis Book PDF

Author : Alejandro Frangi,Jerry Prince,Milan Sonka
Publisher : Academic Press
Page : 700 pages
File Size : 43,7 Mb
Release : 2023-09-20
Category : Technology & Engineering
ISBN : 9780128136584

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Medical Image Analysis by Alejandro Frangi,Jerry Prince,Milan Sonka Pdf

Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. Provides an authoritative description of key concepts and methods Includes tutorial-based sections that clearly explain principles and their application to different medical domains Presents a representative selection of topics to match a modern and relevant approach to medical image computing

Advances in Computational Vision and Medical Image Processing

Joao Tavares,R. M. Natal Jorge
Advances in Computational Vision and Medical Image Processing Book PDF

Author : Joao Tavares,R. M. Natal Jorge
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 45,5 Mb
Release : 2008-12-21
Category : Computers
ISBN : 9781402090868

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Advances in Computational Vision and Medical Image Processing by Joao Tavares,R. M. Natal Jorge Pdf

Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related ?elds trying to id- tify widespread areas of potential collaboration between researchers of different sciences.

Soft Computing Based Medical Image Analysis

Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas
Soft Computing Based Medical Image Analysis Book PDF

Author : Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas
Publisher : Academic Press
Page : 292 pages
File Size : 52,7 Mb
Release : 2018-01-18
Category : Technology & Engineering
ISBN : 9780128131749

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Soft Computing Based Medical Image Analysis by Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas Pdf

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Computational Intelligence in Medical Imaging

G. Schaefer,A. Hassanien,J. Jiang
Computational Intelligence in Medical Imaging Book PDF

Author : G. Schaefer,A. Hassanien,J. Jiang
Publisher : CRC Press
Page : 504 pages
File Size : 47,5 Mb
Release : 2009-03-24
Category : Computers
ISBN : 1420060619

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Computational Intelligence in Medical Imaging by G. Schaefer,A. Hassanien,J. Jiang Pdf

CI Techniques & Algorithms for a Variety of Medical Imaging Situations Documents recent advances and stimulates further research A compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent computing can bring enormous benefit to existing technology in medical image processing as well as improve medical imaging research. The contributors also cover state-of-the-art research toward integrating medical image processing with artificial intelligence and machine learning approaches. The book presents numerous techniques, algorithms, and models. It describes neural networks, evolutionary optimization techniques, rough sets, support vector machines, tabu search, fuzzy logic, a Bayesian probabilistic framework, a statistical parts-based appearance model, a reinforcement learning-based multistage image segmentation algorithm, a machine learning approach, Monte Carlo simulations, and intelligent, deformable models. The contributors discuss how these techniques are used to classify wound images, extract the boundaries of skin lesions, analyze prostate cancer, handle the inherent uncertainties in mammographic images, and encapsulate the natural intersubject anatomical variance in medical images. They also examine prostate segmentation in transrectal ultrasound images, automatic segmentation and diagnosis of bone scintigraphy, 3-D medical image segmentation, and the reconstruction of SPECT and PET tomographic images.

Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques

Gonzalez, Fabio A.,Romero, Eduardo
Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques Book PDF

Author : Gonzalez, Fabio A.,Romero, Eduardo
Publisher : IGI Global
Page : 390 pages
File Size : 42,8 Mb
Release : 2009-12-31
Category : Computers
ISBN : 9781605669571

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Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques by Gonzalez, Fabio A.,Romero, Eduardo Pdf

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.

Advances in Computational Vision and Medical Image Processing

Joao Tavares,Renato Natal Jorge
Advances in Computational Vision and Medical Image Processing Book PDF

Author : Joao Tavares,Renato Natal Jorge
Publisher : Springer
Page : 294 pages
File Size : 42,6 Mb
Release : 2009-08-29
Category : Computers
ISBN : 1402090978

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Advances in Computational Vision and Medical Image Processing by Joao Tavares,Renato Natal Jorge Pdf

Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related ?elds trying to id- tify widespread areas of potential collaboration between researchers of different sciences.

Advances in Deep Learning for Medical Image Analysis

Archana Mire,Vinayak Elangovan,Shailaja Patil
Advances in Deep Learning for Medical Image Analysis Book PDF

Author : Archana Mire,Vinayak Elangovan,Shailaja Patil
Publisher : CRC Press
Page : 168 pages
File Size : 42,5 Mb
Release : 2022-04-28
Category : Technology & Engineering
ISBN : 9781000575958

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Advances in Deep Learning for Medical Image Analysis by Archana Mire,Vinayak Elangovan,Shailaja Patil Pdf

This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer’s disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.

Advancement of Machine Intelligence in Interactive Medical Image Analysis

Om Prakash Verma,Sudipta Roy,Subhash Chandra Pandey,Mamta Mittal
Advancement of Machine Intelligence in Interactive Medical Image Analysis Book PDF

Author : Om Prakash Verma,Sudipta Roy,Subhash Chandra Pandey,Mamta Mittal
Publisher : Springer Nature
Page : 336 pages
File Size : 43,6 Mb
Release : 2019-12-11
Category : Computers
ISBN : 9789811511004

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Advancement of Machine Intelligence in Interactive Medical Image Analysis by Om Prakash Verma,Sudipta Roy,Subhash Chandra Pandey,Mamta Mittal Pdf

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.

Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

Jianhua Yao,Ben Glocker,Tobias Klinder,Shuo Li
Recent Advances in Computational Methods and Clinical Applications for Spine Imaging Book PDF

Author : Jianhua Yao,Ben Glocker,Tobias Klinder,Shuo Li
Publisher : Springer
Page : 259 pages
File Size : 43,6 Mb
Release : 2015-02-09
Category : Technology & Engineering
ISBN : 9783319141480

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Recent Advances in Computational Methods and Clinical Applications for Spine Imaging by Jianhua Yao,Ben Glocker,Tobias Klinder,Shuo Li Pdf

This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis. The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.

Signal and Image Analysis for Biomedical and Life Sciences

Changming Sun,Tomasz Bednarz,Tuan D. Pham,Pascal Vallotton,Dadong Wang
Signal and Image Analysis for Biomedical and Life Sciences Book PDF

Author : Changming Sun,Tomasz Bednarz,Tuan D. Pham,Pascal Vallotton,Dadong Wang
Publisher : Springer
Page : 276 pages
File Size : 51,9 Mb
Release : 2014-11-07
Category : Computers
ISBN : 9783319109848

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Signal and Image Analysis for Biomedical and Life Sciences by Changming Sun,Tomasz Bednarz,Tuan D. Pham,Pascal Vallotton,Dadong Wang Pdf

With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems. This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to each of the applications. It can be used by those both at graduate and specialist levels.

Biomedical Image Segmentation

Ayman El-Baz,Xiaoyi Jiang,Jasjit S. Suri
Biomedical Image Segmentation Book PDF

Author : Ayman El-Baz,Xiaoyi Jiang,Jasjit S. Suri
Publisher : CRC Press
Page : 547 pages
File Size : 42,6 Mb
Release : 2016-11-17
Category : Medical
ISBN : 9781482258561

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Biomedical Image Segmentation by Ayman El-Baz,Xiaoyi Jiang,Jasjit S. Suri Pdf

As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In recent years, substantial progress has been made to biomedical image segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation algorithms and their applications.

Advanced Machine Vision Paradigms for Medical Image Analysis

Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
Advanced Machine Vision Paradigms for Medical Image Analysis Book PDF

Author : Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
Publisher : Academic Press
Page : 308 pages
File Size : 50,6 Mb
Release : 2020-08-11
Category : Computers
ISBN : 9780128192962

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Advanced Machine Vision Paradigms for Medical Image Analysis by Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey Pdf

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

Computational Techniques for Dental Image Analysis

Kamalanand, K.,Thayumanavan, B.,Jawahar, P. Mannar
Computational Techniques for Dental Image Analysis Book PDF

Author : Kamalanand, K.,Thayumanavan, B.,Jawahar, P. Mannar
Publisher : IGI Global
Page : 334 pages
File Size : 51,7 Mb
Release : 2018-10-30
Category : Medical
ISBN : 9781522562443

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Computational Techniques for Dental Image Analysis by Kamalanand, K.,Thayumanavan, B.,Jawahar, P. Mannar Pdf

With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.

Advances in Computerized Analysis in Clinical and Medical Imaging

J Dinesh Peter,Steven Lawrence Fernandes,Carlos Eduardo Thomaz
Advances in Computerized Analysis in Clinical and Medical Imaging Book PDF

Author : J Dinesh Peter,Steven Lawrence Fernandes,Carlos Eduardo Thomaz
Publisher : CRC Press
Page : 292 pages
File Size : 51,5 Mb
Release : 2019-10-28
Category : Computers
ISBN : 9780429820489

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Advances in Computerized Analysis in Clinical and Medical Imaging by J Dinesh Peter,Steven Lawrence Fernandes,Carlos Eduardo Thomaz Pdf

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.