Produktnummer:
1800f841cf951b4ced9a042b52f047e645
| Themengebiete: | Computer-Aided Diagnosis Convolutional Neural Networks Deep Learning Hospital-Scale Imaging Data Process Medical Image Analytics |
|---|---|
| Veröffentlichungsdatum: | 12.05.2018 |
| EAN: | 9783319827131 |
| Sprache: | Englisch |
| Seitenzahl: | 326 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Carneiro, Gustavo Lu, Le Yang, Lin Zheng, Yefeng |
| Verlag: | Springer International Publishing |
| Untertitel: | Precision Medicine, High Performance and Large-Scale Datasets |
Produktinformationen "Deep Learning and Convolutional Neural Networks for Medical Image Computing"
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.
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