Table 6.

Differences in model pre-training

RK	Pre-training dataset
Sub-challenge 1: DR grading
1	Kaggle2015 + APTOS
2	Kaggle2015 + APTOS
3	labeled and unlabeled dataset
Sub-challenge 2: image quality assessment
1	ImageNet
2	Kaggle2015
3	private fundus lesion segmentation data
Sub-challenge 3: DR grading based on UWF fundus
1	labeled and unlabeled
2	Kaggle2015 + AOTOS
3	N

The public datasets used are Kaggle2015,²¹ APTOS.⁴⁷ Labeled: Kaggle2015,²¹ APTOS,⁴⁷ and IDRiD;²⁰ unlabeled: REFUGE,³⁴ MESSIOR,²² and E-ophtha.²⁵ RK, rank.