Deep Learning for Medical Image Analysis /
Deep Learning for Medical Image Analysis /
edited by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen.
- London ; San Diego : Elsevier/Academic Press, �2017.
- xxiii, 433 p. : ill. (some col.) ; 24 cm.
- Elsevier and MICCAI Society book series .
- Elsevier and MICCAI Society book series. .
Includes bibliographical references and index.
Introduction -- Medical Image Detection and recognition -- Medical image segmentation -- Medical image registration -- Computer-aided diagnosis and disease quantification -- Others.
"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"--
9780128104088 (pbk) electronic bk 0128104082 (pbk)
2016960969
Diagnostic imaging--Data processing.
Image processing.
Diagnostic Imaging.
RC78.7.D53 / D43 2017
616.07/54
WN 180
Includes bibliographical references and index.
Introduction -- Medical Image Detection and recognition -- Medical image segmentation -- Medical image registration -- Computer-aided diagnosis and disease quantification -- Others.
"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"--
9780128104088 (pbk) electronic bk 0128104082 (pbk)
2016960969
Diagnostic imaging--Data processing.
Image processing.
Diagnostic Imaging.
RC78.7.D53 / D43 2017
616.07/54
WN 180