Deep Learning for Medical Image Analysis / edited by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen.
Contributor(s): Zhou, S. Kevin [editor.] | Greenspan, Hayit [editor.] | Shen, Dinggang [editor.].
Series: Elsevier and MICCAI Society book series: ©2017Description: xxiii, 433 p. : ill. (some col.) ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780128104088 (pbk).Subject(s): Diagnostic imaging -- Data processing | Image processing | Diagnostic ImagingGenre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | RC78.7.D53 D43 2017 (Browse shelf) | Available | AU00000000019938 |
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| RC78.7.D53 A78 2019 Artificial Intelligence in Medical Imaging : Opportunities, Applications and Risks / | RC78.7.D53 B45 2012 Biomedical imaging the chemistry of labels, probes, and contrast agents / | RC78.7.D53 D34 2014 Clinical radiology : the essentials / | RC78.7.D53 D43 2017 Deep Learning for Medical Image Analysis / | RC78.7.D53 E54 2012 Emergency cross-sectional radiology / | RC78.7.D53F54 2014 Anatomy in diagnostic imaging / | RC78.7.D53 F76 2015 Frontiers of medical imaging / |
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"--