Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12966)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: MLMI 2021.
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About this book
The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
*The workshop was held virtually.Similar content being viewed by others
Keywords
- artificial intelligence
- big medical imaging data analytics
- bioinformatics
- cellular image analysis
- computer aided diagnosis
- computer vision
- deep learning
- digital pathology
- image analysis
- image processing
- image reconstruction
- image segmentation
- machine learning
- medical image analysis
- medical images
- neural networks
- pattern recognition
Table of contents (73 papers)
Other volumes
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Machine Learning in Medical Imaging
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning in Medical Imaging
Book Subtitle: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Editors: Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-87589-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-87588-6Published: 27 September 2021
eBook ISBN: 978-3-030-87589-3Published: 25 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 704
Number of Illustrations: 16 b/w illustrations, 232 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Information Systems and Communication Service, Pattern Recognition, Computational Biology/Bioinformatics