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.
Epub (Kobo), Epub (Adobe)
Publication Date: 11/08/2017
- ISBN:
- 9783319429991
- 9783319429991
- Category:
- Artificial intelligence
- Format:
- Epub (Kobo), Epub (Adobe)
- Publication Date:
- 11-08-2017
- Language:
- English
- Publisher:
- Springer International Publishing
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You can find this item in:
Medical imaging
Medical physics
Artificial intelligence
Mathematical modelling
Computer vision
Applied mathematics
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