Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12970)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: OMIA 2021.
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About this book
This book constitutes the refereed proceedings of the 8th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in September 2021.*
The 20 papers presented at OMIA 2021 were carefully reviewed and selected from 31 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies.
*The workshop was held virtually.
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Keywords
- artificial intelligence
- color image processing
- computer vision
- deep learning
- digital image
- image analysis
- image matching
- image processing
- image quality
- image reconstruction
- image segmentation
- machine learning
- medical image analysis
- neural networks
- ophthalmic imaging
- pattern recognition
- reference image
Table of contents (21 papers)
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Front Matter
Other volumes
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Ophthalmic Medical Image Analysis
Editors and Affiliations
Bibliographic Information
Book Title: Ophthalmic Medical Image Analysis
Book Subtitle: 8th International Workshop, OMIA 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Editors: Huazhu Fu, Mona K. Garvin, Tom MacGillivray, Yanwu Xu, Yalin Zheng
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-87000-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-86999-1Published: 21 September 2021
eBook ISBN: 978-3-030-87000-3Published: 21 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 200
Number of Illustrations: 7 b/w illustrations
Topics: Image Processing and Computer Vision, Artificial Intelligence, Pattern Recognition, Computer Systems Organization and Communication Networks
