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
This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*
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
