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Deep Learning for Medical Image Analysis /

by Zhou, S. Kevin [editor.]; Greenspan, Hayit [editor.]; Shen, Dinggang [editor.].
Material type: materialTypeLabelBookSeries: Elsevier and MICCAI Society book series: Publisher: London ; San Diego : Elsevier/Academic Press, ©2017Description: xxiii, 433 p. : ill. (some col.) ; 24 cm.ISBN: 9780128104088 (pbk); 0128104082 (pbk).Subject(s): Diagnostic imaging -- Data processing | Image processing | Diagnostic Imaging
Contents:
Introduction -- Medical Image Detection and recognition -- Medical image segmentation -- Medical image registration -- Computer-aided diagnosis and disease quantification -- Others.
Summary: "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"-- provided by publisher.
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Item type Location Call number Status Date due
Books Books
Epoka University Library
RC 78.7.D53 D43 2017 (Browse shelf) Available
Books Books
Epoka University Library
RC 78.7.D53 D43 2017 (Browse shelf) Checked out 11/15/2023
Books Books
Epoka University Library
RC 78.7.D53 D43 2017 (Browse shelf) Checked out 09/12/2023

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"-- provided by publisher.

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