Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12968)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
- DART: MICCAI Workshop on Domain Adaptation and Representation Transfer
- FAIR: Workshop on Affordable Healthcare and AI for Resource Diverse Global Health
Conference proceedings info: DART 2021, FAIR 2021.
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About this book
DART 2021 accepted 13 papers from the 21 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.
For FAIR 2021, 10 papers from 17 submissions were accepted for publication. They focus on Image-to-Image Translation particularly for low-dose or low-resolution settings; Model Compactness and Compression; Domain Adaptation and Transfer Learning; Active, Continual and Meta-Learning.
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Keywords
- artificial intelligence
- bioinformatics
- color image processing
- computer vision
- deep learning
- image analysis
- image processing
- image reconstruction
- image segmentation
- imaging systems
- machine learning
- medical image analysis
- medical images
- medical imaging
- neural networks
- pattern recognition
- segmentation methods
Table of contents (23 papers)
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Domain Adaptation and Representation Transfer
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Affordable AI and Healthcare
Other volumes
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Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health
Editors and Affiliations
Bibliographic Information
Book Title: Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health
Book Subtitle: Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings
Editors: Shadi Albarqouni, M. Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios Tsaftaris, Daguang Xu, … Ziyue Xu
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-87722-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-87721-7Published: 24 September 2021
eBook ISBN: 978-3-030-87722-4Published: 23 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 264
Number of Illustrations: 5 b/w illustrations, 90 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Computational Biology/Bioinformatics, Health Informatics