Deep Learning for Medical Image Analysis / edited by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen.

Other author Zhou, S. Kevin.
Other author Greenspan, Hayit.
Other author Shen, Dinggang.
Format Electronic
Publication InfoLondon ; San Diego : Elsevier/Academic Press,
Descriptionxxiii, 433 p. : ill. (some col.) ; 24 cm.
Supplemental ContentFull text available from eBook - Computer Science 2017 [EBCCS17]
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects
Diagnostic imaging--Data processing.
Image processing.
Diagnostic Imaging.

SeriesElsevier and MICCAI Society book series
Elsevier and MICCAI Society book series. UNAUTHORIZED
Contents Introduction -- Medical Image Detection and recognition -- Medical image segmentation -- Medical image registration -- Computer-aided diagnosis and disease quantification -- Others.
Abstract "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.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2016960969
ISBN9780128104088 (pbk)
ISBN0128104082 (pbk)

Availability

Library Location Call Number Status Item Actions
Electronic Resources ✔ Available