Ophthalmic Medical Image Analysis

Ophthalmic Medical Image Analysis [electronic resource] : edited by Bhavna Antony, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee, Yalin Zheng. - 1st ed. 2023. - Cham Springer Nature Switzerland 2023 - XI, 162 p. 58 illus., 52 illus. in color. online resource.

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


Artificial intelligence.
Artificial Intelligence.
Automated Pattern Recognition.
Computer Engineering and Networks.
Computer engineering.
Computer networks .
Computer vision.
Computer Vision.
Pattern recognition systems.

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