DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images

no code implementations • 5 Apr 2023 • Bo Qian, Hao Chen, Xiangning Wang, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho, Qiang Wu, Ping Zhang, Xiaokang Yang, Yiyu Cai, Weiping Jia, Huating Li, Bin Sheng

Computer-assisted automatic analysis of diabetic retinopathy (DR) is of great importance in reducing the risks of vision loss and even blindness.

Benchmarking Data Augmentation +1

Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity

no code implementations • 18 Oct 2022 • Gitaek Kwon, Eunjin Kim, Sunho Kim, Seongwon Bak, Minsung Kim, Jaeyoung Kim

Recently, diabetic retinopathy (DR) screening utilizing ultra-wide optical coherence tomography angiography (UW-OCTA) has been used in clinical practices to detect signs of early DR.

Data Augmentation Ensemble Learning +2

Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition

no code implementations • ICLR 2020 • Jongbin Ryu, Gitaek Kwon, Ming-Hsuan Yang, Jongwoo Lim

When constructing random forests, it is of prime importance to ensure high accuracy and low correlation of individual tree classifiers for good performance.

Domain Generalization Image Classification