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Deep Learning for Medical Image Analysis - The MICCAI Society book Series Kevin Zhou
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Deep Learning for Medical Image Analysis - The MICCAI Society book Series
Kevin Zhou
"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"--
458 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | January 30, 2017 |
| ISBN13 | 9780128104088 |
| Publishers | Elsevier Science Publishing Co Inc |
| Pages | 458 |
| Dimensions | 184 × 231 × 23 mm · 780 g |
| Editor | Greenspan, Hayit (Head, Medical Image Processing and Analysis Lab, Biomedical Engineering Department, Faculty of Engineering, Tel-Aviv University, Israel) |
| Editor | Shen, Dinggang (Professor, Department of Radiology and BRIC, UNC-Chapel Hill, USA) |
| Editor | Zhou, S. Kevin (Principal Key Expert, Medical Image Analysis, Siemens Healthcare Technology Center, Princeton, New Jersey, USA) |
