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Deep Learning for Medical Image Analysis Zhou Greenspan Shen Paperback

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Deep Learning for Medical Image Analysis

Applies deep learning methods to medical imaging, providing a clear understanding of the principles and methods of neural network and deep learning

S. Kevin Zhou (Edited by), Hayit Greenspan (Edited by), Dinggang Shen (Edited by)

9780128104088

Paperback / softback, published 31 January 2017

458 pages

23.5 x 19 x 2.9 cm, 0.97 kg

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 ana]

Deep Learning for Medical Image Analysis Zhou Greenspan Shen Paperback

Deep Learning for Medical Image Analysis

Applies deep learning methods to medical imaging, providing a clear understanding of the principles and methods of neural network and deep learning

S. Kevin Zhou (Edited by), Hayit Greenspan (Edited by), Dinggang Shen (Edited by)

9780128104088

Paperback / softback, published 31 January 2017

458 pages

23.5 x 19 x 2.9 cm, 0.97 kg

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 ana]

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