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Deep Learning for Medical Image Analysis, Paperback / softback Book

Deep Learning for Medical Image Analysis Paperback / softback

Edited by S. Kevin (Principal Key Expert, Medical Image Analysis, Siemens Healthcare Technology Center, Zhou, Hayit (Head, Medical Image Processing and Analysis Lab, Biomedical Engineering Department Greenspan, Dinggang (Professor, Department of Radiology and BRIC, UNC-Chapel Hill, USA) Shen

Part of the The MICCAI Society book Series series

Paperback / softback

Less than 10 available - usually despatched within 24 hours

Description

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.

Deep learning provides exciting solutions for medical image analysis problems and is 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 are applied to medical image detection, segmentation, registration, and computer-aided analysis.

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