Guide to Medical Image Analysis

Guide to Medical Image Analysis
Author: Klaus D. Toennies
Publsiher: Springer
Total Pages: 589
Release: 2017-05-02
ISBN: 9781447173182
Category: Computers
Language: EN, FR, DE, ES & NL

Guide to Medical Image Analysis Book Excerpt:

This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: presents learning objectives, exercises and concluding remarks in each chapter; describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.

Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis
Author: S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Publsiher: Academic Press
Total Pages: 458
Release: 2017-01-18
ISBN: 0128104090
Category: Computers
Language: EN, FR, DE, ES & NL

Deep Learning for Medical Image Analysis Book Excerpt:

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache

Medical Image Processing Reconstruction and Analysis

Medical Image Processing Reconstruction and Analysis
Author: Jiri Jan
Publsiher: Unknown
Total Pages: 573
Release: 2019
ISBN: 9781138310285
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Medical Image Processing Reconstruction and Analysis Book Excerpt:

Preceded by Medical image processing, reconstruction, and restoration / Jiérâi Jan. 2006.

Handbook of Medical Image Processing and Analysis

Handbook of Medical Image Processing and Analysis
Author: Isaac Bankman
Publsiher: Elsevier
Total Pages: 1000
Release: 2008-12-24
ISBN: 9780080559148
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Medical Image Processing and Analysis Book Excerpt:

The Handbook of Medical Image Processing and Analysis is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The Handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication. The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor growth modeling in oncological image analysis; analysis of cell nuclear features in fluorescence microscopy images; imaging and communication in medical and public health informatics; and dynamic mammogram retrieval from web-based image libraries. For those looking to explore advanced concepts and access essential information, this second edition of Handbook of Medical Image Processing and Analysis is an invaluable resource. It remains the most complete single volume reference for biomedical engineers, researchers, professionals and those working in medical imaging and medical image processing. Dr. Isaac N. Bankman is the supervisor of a group that specializes on imaging, laser and sensor systems, modeling, algorithms and testing at the Johns Hopkins University Applied Physics Laboratory. He received his BSc degree in Electrical Engineering from Bogazici University, Turkey, in 1977, the MSc degree in Electronics from University of Wales, Britain, in 1979, and a PhD in Biomedical Engineering from the Israel Institute of Technology, Israel, in 1985. He is a member of SPIE. Includes contributions from internationally renowned authors from leading institutions NEW! 35 of 56 chapters have been revised and updated. Additionally, five new chapters have been added on important topics incluling Nonlinear 3D Boundary Detection, Adaptive Algorithms for Cancer Cytological Diagnosis, Dynamic Mammogram Retrieval from Web-Based Image Libraries, Imaging and Communication in Health Informatics and Tumor Growth Modeling in Oncological Image Analysis. Provides a complete collection of algorithms in computer processing of medical images Contains over 60 pages of stunning, four-color images

Medical Image Analysis

Medical Image Analysis
Author: Atam P. Dhawan
Publsiher: John Wiley & Sons
Total Pages: 400
Release: 2011-03-29
ISBN: 0470922893
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Medical Image Analysis Book Excerpt:

The expanded and revised edition will split Chapter 4 to include more details and examples in FMRI, DTI, and DWI for MR image modalities. The book will also expand ultrasound imaging to 3-D dynamic contrast ultrasound imaging in a separate chapter. A new chapter on Optical Imaging Modalities elaborating microscopy, confocal microscopy, endoscopy, optical coherent tomography, fluorescence and molecular imaging will be added. Another new chapter on Simultaneous Multi-Modality Medical Imaging including CT-SPECT and CT-PET will also be added. In the image analysis part, chapters on image reconstructions and visualizations will be significantly enhanced to include, respectively, 3-D fast statistical estimation based reconstruction methods, and 3-D image fusion and visualization overlaying multi-modality imaging and information. A new chapter on Computer-Aided Diagnosis and image guided surgery, and surgical and therapeutic intervention will also be added. A companion site containing power point slides, author biography, corrections to the first edition and images from the text can be found here: ftp://ftp.wiley.com/public/sci_tech_med/medical_image/ Send an email to: Pr[email protected] to obtain a solutions manual. Please include your affiliation in your email.

Principles and Advanced Methods in Medical Imaging and Image Analysis

Principles and Advanced Methods in Medical Imaging and Image Analysis
Author: Atam P. Dhawan,H. K. Huang,Dae-Shik Kim
Publsiher: World Scientific
Total Pages: 869
Release: 2008
ISBN: 9812705341
Category: Medical
Language: EN, FR, DE, ES & NL

Principles and Advanced Methods in Medical Imaging and Image Analysis Book Excerpt:

Computerized medical imaging and image analysis have been the central focus in diagnostic radiology. They provide revolutionarizing tools for visualization of physiology as well as the understanding and quantitative measurement of physiological parameters. This book provides a unique depth of knowledge from the principles to recent advanced methods in medical imaging instrumentation and techniques as well as multidimensional image analysis and classification methods for research, education and applications in computer-aided diagnostic radiology. Internationally renowned researchers and experts in their respective areas provide detailed description of the basic foundation as well as the most recent developments in medical imaging. This book helps readers to understand theoretical and advanced concepts for important research and clinical applications.

Medical Image Processing Reconstruction and Analysis

Medical Image Processing  Reconstruction and Analysis
Author: Jiri Jan
Publsiher: CRC Press
Total Pages: 574
Release: 2019-09-05
ISBN: 1351387901
Category: Medical
Language: EN, FR, DE, ES & NL

Medical Image Processing Reconstruction and Analysis Book Excerpt:

Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III – Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image data

Computational Pathology and Ophthalmic Medical Image Analysis

Computational Pathology and Ophthalmic Medical Image Analysis
Author: Danail Stoyanov,Zeike Taylor,Francesco Ciompi,Yanwu Xu,Anne Martel,Lena Maier-Hein,Nasir Rajpoot,Jeroen van der Laak,Mitko Veta,Stephen McKenna,David Snead,Emanuele Trucco,Mona K. Garvin,Xin Jan Chen,Hrvoje Bogunovic
Publsiher: Springer
Total Pages: 347
Release: 2018-09-13
ISBN: 3030009491
Category: Computers
Language: EN, FR, DE, ES & NL

Computational Pathology and Ophthalmic Medical Image Analysis Book Excerpt:

This book constitutes the refereed joint proceedings of the First International Workshop on Computational Pathology, COMPAY 2018, and the 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 19 full papers (out of 25 submissions) presented at COMPAY 2018 and the 21 full papers (out of 31 submissions) presented at OMIA 2018 were carefully reviewed and selected. The COMPAY papers focus on artificial intelligence and deep learning. The OMIA papers cover various topics in the field of ophthalmic image analysis.

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: 0128181494
Category: Computers
Language: EN, FR, DE, ES & NL

Neutrosophic Set in Medical Image Analysis Book Excerpt:

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

Soft Computing Based Medical Image Analysis

Soft Computing Based Medical Image Analysis
Author: Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas
Publsiher: Academic Press
Total Pages: 292
Release: 2018-01-18
ISBN: 0128131748
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Soft Computing Based Medical Image Analysis Book Excerpt:

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

Hybrid Machine Intelligence for Medical Image Analysis

Hybrid Machine Intelligence for Medical Image Analysis
Author: Siddhartha Bhattacharyya,Debanjan Konar,Jan Platos,Chinmoy Kar,Kalpana Sharma
Publsiher: Springer
Total Pages: 293
Release: 2019-08-08
ISBN: 9811389306
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Hybrid Machine Intelligence for Medical Image Analysis Book Excerpt:

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.

Deep Learning in Medical Image Analysis

Deep Learning in Medical Image Analysis
Author: Gobert Lee,Hiroshi Fujita
Publsiher: Springer Nature
Total Pages: 181
Release: 2020-02-06
ISBN: 3030331288
Category: Medical
Language: EN, FR, DE, ES & NL

Deep Learning in Medical Image Analysis Book Excerpt:

This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

Medical Image Analysis

Medical Image Analysis
Author: Atam Dhawan
Publsiher: Wiley-IEEE Press
Total Pages: 342
Release: 2003-07-14
ISBN: 1928374650XXX
Category: Medical
Language: EN, FR, DE, ES & NL

Medical Image Analysis Book Excerpt:

Intelligent processing of multi-dimensional images has become crucial in conventional or computer-aided interpretation for radiological and diagnostic applications. This focused text provides the in-depth knowledge of the modalities used to acquire images for medical image reconstruction and processing and enables medical professionals to effectively select and develop the most appropriate image reconstruction and processing methods for accurate analysis and interpretation. This thorough introduction to the acquisition of images and the intelligent interpretation and analysis of biomedical images discusses such essentials as: The interaction of the basic unit of imaging (such as protongs in MRI, or, x-ray photons in X-ray CT) in a biological environment Formation of a quantifiable signal representing the biological information etection and acquisition of the signal Appropriate image reconstruction Featuring skill-building MATLAB exercises and end-of-chapter references, this text delivers an essential, top-to-bottom examination of medical imaging and helps you master the complexities of today's radiological and diagnostic applications. To view the MATLAB exercises, visit: ftp://ftp.wiley.com/public/sci_tech_med/medical_image/

Riemannian Geometric Statistics in Medical Image Analysis

Riemannian Geometric Statistics in Medical Image Analysis
Author: Xavier Pennec,Stefan Sommer,Tom Fletcher
Publsiher: Academic Press
Total Pages: 634
Release: 2019-09
ISBN: 0128147253
Category: Computers
Language: EN, FR, DE, ES & NL

Riemannian Geometric Statistics in Medical Image Analysis Book Excerpt:

Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods. Content includes: - The foundations of Riemannian geometric methods for statistics on manifolds with emphasis on concepts rather than on proofs - Applications of statistics on manifolds and shape spaces in medical image computing - Diffeomorphic deformations and their applications As the methods described apply to domains such as signal processing (radar signal processing and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear, this book is suitable for researchers and graduate students in medical imaging, engineering and computer science. - A complete reference covering both the foundations and state-of-the-art methods - Edited and authored by leading researchers in the field - Contains theory, examples, applications, and algorithms - Gives an overview of current research challenges and future applications

Computer Vision Approaches to Medical Image Analysis

Computer Vision Approaches to Medical Image Analysis
Author: Reinhard R. Beichel,Milan Sonka
Publsiher: Springer
Total Pages: 264
Release: 2006-10-20
ISBN: 3540462589
Category: Computers
Language: EN, FR, DE, ES & NL

Computer Vision Approaches to Medical Image Analysis Book Excerpt:

This book constitutes the thoroughly refereed post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2006, held in Graz, Austria in May 2006 as a satellite event of the 9th European Conference on Computer Vision, EECV 2006. The 10 revised full papers and 11 revised poster papers presented together with one invited talk were carefully reviewed and selected from 38 submissions.

Mesh Processing in Medical Image Analysis 2012

Mesh Processing in Medical Image Analysis 2012
Author: Joshua A. Levine,Rasmus R. Paulsen,Yongjie Zhang
Publsiher: Springer
Total Pages: 169
Release: 2012-09-08
ISBN: 3642334636
Category: Computers
Language: EN, FR, DE, ES & NL

Mesh Processing in Medical Image Analysis 2012 Book Excerpt:

This book constitutes the refereed proceedings of the International Workshop on Mesh Processing in Medical Image Analysis, MeshMed 2012, held in Nice, France, in October 2012 in conjunction with MICCAI 2012, the 15th International Conference on Medical Image Computing and Computer Assisted Intervention. The book includes 16 submissions, 8 were selected for presentation along with the 3 plenary talks representative of the meshing, and 8 were selected for poster presentations. The papers cover a broad range of topics, including statistical shape analysis and atlas construction, novel meshing approaches, soft tissue simulation, quad dominant meshing and mesh based shape descriptors. The described techniques were applied to a variety of medical data including cortical bones, ear canals, cerebral aneurysms and vascular structures.

Advances in Deep Learning for Medical Image Analysis

Advances in Deep Learning for Medical Image Analysis
Author: Archana Mire,Vinayak Elangovan,Shailaja Patil
Publsiher: CRC Press
Total Pages: 168
Release: 2022-04-28
ISBN: 1000575950
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Deep Learning for Medical Image Analysis Book Excerpt:

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.

Principles and Advanced Methods in Medical Imaging and Image Analysis

Principles and Advanced Methods in Medical Imaging and Image Analysis
Author: Anonim
Publsiher: Unknown
Total Pages: 135
Release: 2022
ISBN: 9814476064
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Principles and Advanced Methods in Medical Imaging and Image Analysis Book Excerpt:

Artificial Intelligence for Medical Image Analysis of NeuroImaging Data

Artificial Intelligence for Medical Image Analysis of NeuroImaging Data
Author: Nianyin Zeng,Siyang Zuo,Guoyan Zheng,Yangming Ou,Tong Tong
Publsiher: Frontiers Media SA
Total Pages: 224
Release: 2020-07-03
ISBN: 288963826X
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Medical Image Analysis of NeuroImaging Data Book Excerpt:

Advancement of Machine Intelligence in Interactive Medical Image Analysis

Advancement of Machine Intelligence in Interactive Medical Image Analysis
Author: Om Prakash Verma,Sudipta Roy,Subhash Chandra Pandey,Mamta Mittal
Publsiher: Springer Nature
Total Pages: 329
Release: 2019-12-11
ISBN: 9811511004
Category: Computers
Language: EN, FR, DE, ES & NL

Advancement of Machine Intelligence in Interactive Medical Image Analysis Book Excerpt:

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.