Medical Image Analysis

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Guide To Medical Image Analysis

Author : Klaus D. Toennies
ISBN : 9781447173205
Genre : Computers
File Size : 27.42 MB
Format : PDF, ePub
Download : 672
Read : 322

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.
Category: Computers
Guide to Medical Image Analysis
Language: en
Pages: 589
Authors: Klaus D. Toennies
Categories: Computers
Type: BOOK - Published: 2017-03-29 - Publisher: Springer

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
Deep Learning for Medical Image Analysis
Language: en
Pages: 458
Authors: S. Kevin Zhou, Hayit Greenspan, Dinggang Shen
Categories: Computers
Type: BOOK - Published: 2017-01-18 - Publisher: Academic Press

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
Medical Image Processing
Language: en
Pages: 380
Authors: Geoff Dougherty
Categories: Technology & Engineering
Type: BOOK - Published: 2011-07-25 - Publisher: Springer Science & Business Media

The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a
Introduction to Medical Image Analysis
Language: en
Pages: 186
Authors: Rasmus R. Paulsen, Thomas B. Moeslund
Categories: Computers
Type: BOOK - Published: 2020-05-27 - Publisher: Springer

This easy-to-follow textbook presents an engaging introduction to the fascinating world of medical image analysis. Avoiding an overly mathematical treatment, the text focuses on intuitive explanations, illustrating the key algorithms and concepts in a way which will make sense to students from a broad range of different backgrounds. Topics and
Advanced Machine Vision Paradigms for Medical Image Analysis
Language: en
Pages: 308
Authors: Tapan K. Gandhi, Siddhartha Bhattacharyya, Sourav De, Debanjan Konar, Sandip Dey
Categories: Computers
Type: BOOK - Published: 2020-08-11 - Publisher: Academic Press

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