株式会社極東書店トップ ＞ 商品一覧 ＞ Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets. Softcover reprint of the original 1st ed. 2017
商品詳細
Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets. Softcover reprint of the original 1st ed. 2017
・ISBN 978-3-319-82713-1 paper EUR 159.99
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| 著者・編者 | Lu, Le / Zheng, Yefeng / Carneiro, Gustavo / Yang, Lin (eds.), |
|---|---|
| シリーズ | (Advances in Computer Vision and Pattern Recognition) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2018 |
| ページ数 | 326 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-71378＞ |
解説
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.