Автор: Kalet Ira J. Название: Principles of Biomedical Informatics, 2 ed ISBN: 0124160190 ISBN-13(EAN): 9780124160194 Издательство: Elsevier Science Рейтинг: Цена: 83080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides a treatment of the deep computational ideas at the foundation of the field. This book includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: tree structured data, interval trees, and time-oriented medical data and their use.
Автор: Dillon Patrick F Название: Biophysics A Physiological Approach ISBN: 0521172160 ISBN-13(EAN): 9780521172165 Издательство: Cambridge Academ Рейтинг: Цена: 39920.00 T Наличие на складе: Есть Описание: Specifically tailored to life science students, this textbook outlines the important physical ideas, equations and examples at the heart of contemporary physiology, along with the organization necessary to understand that knowledge. The equations are designed to help students understand biological principles, with a particular emphasis on human biology.
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
Автор: Shuo Li; Jo?o Manuel R. S. Tavares Название: Shape Analysis in Medical Image Analysis ISBN: 3319375210 ISBN-13(EAN): 9783319375212 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A landmark publication in its scope, this book features contributions by more than a dozen internationally renowned experts, addressing key topics in shape analysis in medical imaging, such as image segmentation, modeling, and classification techniques.
Автор: Jiri Jan Название: Medical Image Processing, Reconstruction and Analysis: Concepts and Methods, Second Edition ISBN: 113831028X ISBN-13(EAN): 9781138310285 Издательство: Taylor&Francis Рейтинг: Цена: 224570.00 T Наличие на складе: Невозможна поставка. 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: M. Emre Celebi; Gerald Schaefer Название: Color Medical Image Analysis ISBN: 940178129X ISBN-13(EAN): 9789401781299 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Recently, medical imaging modalities that use color information have been introduced to the formerly monochrome world of x-ray, CT and ultrasound. This book summarizes the state of the art in the utilization of color information in medical image analysis.
Автор: M. Emre Celebi, Teresa Mendonca, Jorge S. Marques Название: Dermoscopy Image Analysis ISBN: 1138892874 ISBN-13(EAN): 9781138892873 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Невозможна поставка. 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: Mousumi Gupta; Debanjan Konar; Siddhartha Bhattach Название: Computer Vision and Machine Intelligence in Medical Image Analysis ISBN: 9811387974 ISBN-13(EAN): 9789811387975 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
Автор: Shuo Li; Jo?o Manuel R. S. Tavares Название: Shape Analysis in Medical Image Analysis ISBN: 3319038125 ISBN-13(EAN): 9783319038124 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A landmark publication in its scope, this book features contributions by more than a dozen internationally renowned experts, addressing key topics in shape analysis in medical imaging, such as image segmentation, modeling, and classification techniques.
Автор: Wahiba Ben Abdessalem Karaa, Nilanjan Dey Название: Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes ISBN: 1466688114 ISBN-13(EAN): 9781466688117 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 218990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.
Автор: Lee Gobert, Fujita Hiroshi Название: Deep Learning in Medical Image Analysis: Challenges and Applications ISBN: 303033127X ISBN-13(EAN): 9783030331276 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
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