DRAC 2022: a public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images

DRAC 2022: a public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images

We described a challenge named "DRAC - Diabetic Retinopathy Analysis Challenge" in conjunction with the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). Within this challenge, we provided the DRAC datset, an ultra-wide optical coher...

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Bibliographic Details
Main Authors: Qian, Bo, Chen, Hao, Wang, Xiangning, Guan, Zhouyu, Li, Tingyao, Jin, Yixiao, Wu, Yilan, Wen, Yang, Che, Haoxuan, Kwon, Gitaek, Kim, Jaeyoung, Choi, Sungjin, Shin, Seoyoung, Krause, Felix, Unterdechler, Markus, Hou, Junlin, Feng, Rui, Li, Yihao, El Habib Daho, Mostafa, Yang, Dawei, Wu, Qiang, Zhang, Ping, Yang, Xiaokang, Cai, Yiyu, Tan, Gavin Siew Wei, Cheung, Carol Y., Jia, Weiping, Li, Huating, Tham, Yih Chung, Wong, Tien Yin, Sheng, Bin
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Diabetic retinopathy
Medical image computing
Online Access:https://hdl.handle.net/10356/178399

Internet

https://hdl.handle.net/10356/178399

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