Ophthalmic Medical Image Analysis 10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / [electronic resource] :
edited by Bhavna Antony, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee, Yalin Zheng.
- 1st ed. 2023.
- XI, 162 p. 58 illus., 52 illus. in color. online resource.
- Lecture Notes in Computer Science, 14096 1611-3349 ; .
- Lecture Notes in Computer Science, 14096 .
This book constitutes the refereed proceedings of the 10th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023. The 16 papers presented at OMIA 2023 were carefully reviewed and selected from 27 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.
9783031440137
10.1007/978-3-031-44013-7 doi
Computer vision.
Artificial intelligence.
Pattern recognition systems.
Computer engineering.
Computer networks .
Computer Vision.
Artificial Intelligence.
Automated Pattern Recognition.
Computer Engineering and Networks.
TA1634
006.37
This book constitutes the refereed proceedings of the 10th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023. The 16 papers presented at OMIA 2023 were carefully reviewed and selected from 27 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.
9783031440137
10.1007/978-3-031-44013-7 doi
Computer vision.
Artificial intelligence.
Pattern recognition systems.
Computer engineering.
Computer networks .
Computer Vision.
Artificial Intelligence.
Automated Pattern Recognition.
Computer Engineering and Networks.
TA1634
006.37