Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12436)
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 2020.
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About this book
This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic.
The 68 papers presented in this volume were carefully reviewed and selected from 101 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
- automatic segmentations
- bioinformatics
- cellular image analysis
- computer vision
- computer-aided diagnosis
- deep learning
- image analysis
- image processing
- image quality
- image reconstruction
- image segmentation
- machine learning
- medical images
- molecular imaging
- network protocols
- neural networks
- pattern recognition
- segmentation methods
- signal processing
Table of contents (69 papers)
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Machine Learning in Medical Imaging
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning in Medical Imaging
Book Subtitle: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
Editors: Mingxia Liu, Pingkun Yan, Chunfeng Lian, Xiaohuan Cao
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-59861-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-59860-0Published: 03 October 2020
eBook ISBN: 978-3-030-59861-7Published: 02 October 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 686
Number of Illustrations: 97 b/w illustrations, 230 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Pattern Recognition, Computer Applications