Deep Learning and Convolutional Neural Networks for Medical Image Computing : Precision Medicine, High Performance and Large-Scale Datasets Hardback
Edited by Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
Part of the Advances in Computer Vision and Pattern Recognition series
Hardback
Description
This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining.
A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples.
Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
Information
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Item not Available
- Format:Hardback
- Pages:326 pages, 100 Illustrations, color; 17 Illustrations, black and white; XIII, 326 p. 117 illus., 100
- Publisher:Springer International Publishing AG
- Publication Date:24/07/2017
- Category:
- ISBN:9783319429984
Information
-
Item not Available
- Format:Hardback
- Pages:326 pages, 100 Illustrations, color; 17 Illustrations, black and white; XIII, 326 p. 117 illus., 100
- Publisher:Springer International Publishing AG
- Publication Date:24/07/2017
- Category:
- ISBN:9783319429984
