Handbook Of Medical Image Processing And Analysis, Bankman, Isaac

Автор: Jiri Jan
Название: Medical Image Processing, Reconstruction and Analysis: Concepts and Methods, Second Edition
ISBN: 113831028X ISBN-13(EAN): 9781138310285
Издательство: Taylor&Francis
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Цена: 224570.00 T
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Описание: Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing, focusing namely on applications used in medical imaging – providing a theoretical yet clear and easy to follow explanation of underlying generic concepts. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction tobasic 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 – without technical details – their basic principles influencing the properties of the obtained images, with emphasis placed on analyzing the internal signals and (pre)image data that are to be processed by the methods described in this book. Part III – Image Processing and Analysis focuses on such vital image processing topics as tomographic image reconstruction, image fusion, methods if image enhancement and restoration. It explains concepts of both fundamental-level image analysis detailing local feature, edge and texture analysis, image segmentation and morphological transforms, and higher-level analysis, as principal and independent component analysis and namely the new analysis area based on deep learning, namely that using convolutional neural networks. Briefly, also the medical image-processing environment is briefly treated, including the processes for image archiving and communication. Features Presents a good, theoretically exact yet understandable overview of basic theory related to image processing and analysis, with practical interpretations of all theoretical conclusions Provides a concise treatment of a wide variety of medical imaging modalities with respect to properties of image data to be processed Includes topical discussions on medical image reconstruction, fusion, enhancement and restoration as well as on image analysis including the recently appearing deep-learning based methods Explores appropriate applications relevant to particular chapters

Автор: Rajinikanth, Venkatesan (st. Joseph`s College Of Engineering, Omr, Chennai, Tn, India) Priya, E (sri Sairam Engineering College, Chennai, Tn, India) L
Название: Hybrid image processing methods for medical image examination
ISBN: 0367534967 ISBN-13(EAN): 9780367534967
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: This book focuses on implementation of a possible Hybrid Image Examination technique for medical images describing various image thresholding and segmentation methods along with essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, supported by pertinent case studies.

Автор: Maria A. Zuluaga; Kanwal Bhatia; Bernhard Kainz; M
Название: Reconstruction, Segmentation, and Analysis of Medical Images
ISBN: 3319522795 ISBN-13(EAN): 9783319522791
Издательство: Springer
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Цена: 46570.00 T
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Описание: Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.

Название: Artificial intelligence and machine learning in 2d/3d medical image processing
ISBN: 0367374358 ISBN-13(EAN): 9780367374358
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: Medical image fusion is a process which merges information from multiple images of the same scene. The fused image provides appended information that can be utilized for more precise localization of abnormalities. The use of medical image processing databases will help to create and develop more accurate and diagnostic tools.

Автор: M. Emre Celebi, Teresa Mendonca, Jorge S. Marques
Название: Dermoscopy Image Analysis
ISBN: 1138892874 ISBN-13(EAN): 9781138892873
Издательство: Taylor&Francis
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Цена: 47970.00 T
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Описание: Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more easily visible when compared to conventional clinical images. It allows for the identification of dozens of morphological features that are particularly important in identifying malignant melanoma. Dermoscopy Image Analysis summarizes the state of the art of the computerized analysis of dermoscopy images. The book begins by discussing the influence of color normalization on classification accuracy and then: Investigates gray-world, max-RGB, and shades-of-gray color constancy algorithms, showing significant gains in sensitivity and specificity on a heterogeneous set of images Proposes a new color space that highlights the distribution of underlying melanin and hemoglobin color pigments, leading to more accurate classification and border detection results Determines that the latest border detection algorithms can achieve a level of agreement that is only slightly lower than the level of agreement among experienced dermatologists Provides a comprehensive review of various methods for border detection, pigment network extraction, global pattern extraction, streak detection, and perceptually significant color detection Details a computer-aided diagnosis (CAD) system for melanomas that features an inexpensive acquisition tool, clinically meaningful features, and interpretable classification feedback Presents a highly scalable CAD system implemented in the MapReduce framework, a novel CAD system for melanomas, and an overview of dermatological image databases Describes projects that made use of a publicly available database of dermoscopy images, which contains 200 high-quality images along with their medical annotations Dermoscopy Image Analysis not only showcases recent advances but also explores future directions for this exciting subfield of medical image analysis, covering dermoscopy image analysis from preprocessing to classification.

Автор: Ganesh R. Naik
Название: Advances in Principal Component Analysis
ISBN: 9811349347 ISBN-13(EAN): 9789811349348
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail. Bringing together research results previously scattered throughout many scientific journals papers worldwide, the book presents them in a methodologically unified form. Offering vital insights into the subject matter in self-contained chapters that balance the theory and concrete applications, and especially focusing on open problems, it is essential reading for all researchers and practitioners with an interest in PCA.

Автор: Umbaugh, Scott E (southern Illinois University, Edwardsville, Usa)
Название: Digital image processing and analysis
ISBN: 1032071303 ISBN-13(EAN): 9781032071305
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: Digital Image Enhancement, Restoration and Compression focuses on human vision-based imaging application development. Examples include making poor images look better, the development of advanced compression algorithms, special effects imaging for motion pictures and the restoration of satellite images distorted by atmospheric disturbance. This book presents a unique engineering approach to the practice of digital imaging, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored.The book includes chapters on imaging systems and software, the human visual system, image transforms, image filtering, image enhancement, image restoration, and image compression. Numerous examples, including over 700 color images, are used to illustrate the concepts discussed. Readers can explore their own application development with any programming language, including C/C++, MATLAB®, Python and R, and software is provided for both the Windows/C/C++ and MATLAB environments.The book can be used by the academic community in teaching and research, with over 1,000 PowerPoint slides and a complete solutions manual to the over 230 included problems. It can also be used for self-study by those involved with application development, whether they are engineers, scientists or artists. The new edition has been extensively updated and includes numerous problems and programming exercises that will help the reader and student develop their skills.

Автор: Umbaugh, Scott E
Название: Digital Image Processing and Analysis
ISBN: 1032071281 ISBN-13(EAN): 9781032071282
Издательство: Taylor&Francis
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Цена: 178640.00 T
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Автор: Russ, John C.
Название: The Image Processing Handbook
ISBN: 149874026X ISBN-13(EAN): 9781498740265
Издательство: Taylor&Francis
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Цена: 199050.00 T
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Автор: M. Jorge Cardoso; Tal Arbel; Enzo Ferrante; Xavier
Название: Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics
ISBN: 3319676741 ISBN-13(EAN): 9783319676746
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book constitutes the refereed joint proceedings of the First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017, the 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, and the Third International Workshop on Imaging Genetics, MICGen 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.

The 7 full papers presented at GRAIL 2017, the 10 full papers presented at MFCA 2017, and the 5 full papers presented at MICGen 2017 were carefully reviewed and selected. The GRAIL papers cover a wide range of graph based medical image analysis methods and applications, including probabilistic graphical models, neuroimaging using graph representations, machine learning for diagnosis prediction, and shape modeling. The MFCA papers deal with theoretical developments in non-linear image and surface registration in the context of computational anatomy. The MICGen papers cover topics in the field of medical genetics, computational biology and medical imaging.

Автор: Kolekar Maheshkumar H., Kumar Vinod
Название: Biomedical Signal and Image Processing in Patient Care
ISBN: 1522528296 ISBN-13(EAN): 9781522528296
Издательство: Turpin
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Цена: 243690.00 T
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Описание: In healthcare systems, medical devices help physicians and specialists in diagnosis, prognosis, and therapeutics. As research shows, validation of medical devices is significantly optimized by accurate signal processing. Biomedical Signal and Image Processing in Patient Care is a pivotal reference source for progressive research on the latest development of applications and tools for healthcare systems. Featuring extensive coverage on a broad range of topics and perspectives such as telemedicine, human machine interfaces, and multimodal data fusion, this publication is ideally designed for academicians, researchers, students, and practitioners seeking current scholarly research on real-life technological inventions.

Автор: Morio Onoe
Название: Real-Time Medical Image Processing
ISBN: 1475701233 ISBN-13(EAN): 9781475701234
Издательство: Springer
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Цена: 46570.00 T
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