Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14348)
Included in the following conference series:
Conference proceedings info: MLMI 2023.
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About this book
The 93 full papers presented in the proceedings were carefully reviewed and selected from 139 submissions. They focus on major trends and challenges in artificial intelligence and machine learning in the medical imaging field, translating medical imaging research into clinical practice. Topics of interests included deep learning, generative adversarial learning, ensemble learning, transfer learning, multi-task learning, manifold learning, reinforcement learning, along with their applications to medical image analysis, computer-aided diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
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 (46 papers)
Other volumes
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Machine Learning in Medical Imaging
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Machine Learning in Medical Imaging
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning in Medical Imaging
Book Subtitle: 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I
Editors: Xiaohuan Cao, Xuanang Xu, Islem Rekik, Zhiming Cui, Xi Ouyang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-45673-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Softcover ISBN: 978-3-031-45672-5Published: 15 October 2023
eBook ISBN: 978-3-031-45673-2Published: 14 October 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 480
Number of Illustrations: 16 b/w illustrations, 158 illustrations in colour
Topics: Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Machine Learning, Computer Communication Networks, Computer Applications, Bioinformatics