Data driven approaches on medical imaging / Bin Zheng, Stefan Andrei, Md Kamruzzaman Sarker, Kishor Datta Gupta, editors.
This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. and their applications in medical domain. Moreover, the key challenges which affect the design, de...
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| Other Authors: | , , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
2023.
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. and their applications in medical domain. Moreover, the key challenges which affect the design, development, and performance of medical imaging systems are addressed. In addition, the state-of-the-art medical imaging methodologies for efficient, interpretable, explainable, and practical implementation of computer imaging techniques are discussed. At present, there are no textbook resources that address the medical imaging technologies. There are ongoing and novel research outcomes which would be useful for the development of novel medical imaging technologies/processes/equipment which can improve the current state of the art. The book particularly focuses on the use of data driven new technologies on medical imaging vision such as Active learning, Online learning, few shot learning, AutoML, segmentation etc. |
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| Physical Description: | 1 online resource (xv, 228 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783031477720 3031477723 |