Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13583)
Included in the following conference series:
Conference proceedings info: MLMI 2022.
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About this book
This book constitutes the proceedings of the 13th International Workshop on Machine Learning in Medical Imaging, MLMI 2022, held in conjunction with MICCAI 2022, in Singapore, in September 2022.
The 48 full papers presented in this volume were carefully reviewed and selected from 64 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 48 full papers presented in this volume were carefully reviewed and selected from 64 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.
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Keywords
- artificial intelligence
- bioinformatics
- computer networks
- computer science
- computer systems
- computer vision
- deep learning
- education
- engineering
- image analysis
- image processing
- image quality
- image segmentation
- internet
- learning
- machine learning
- mathematics
- medical images
- neural networks
- pattern recognition
Table of contents (48 papers)
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Front Matter
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: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
Editors: Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Zhiming Cui
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-21014-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-21013-6Published: 16 December 2022
eBook ISBN: 978-3-031-21014-3Published: 15 December 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 479
Number of Illustrations: 10 b/w illustrations, 163 illustrations in colour
Topics: Image Processing and Computer Vision, Pattern Recognition, Machine Learning, Computer Systems Organization and Communication Networks, Computer Appl. in Social and Behavioral Sciences, Computational Biology/Bioinformatics