Table 1.

Description of the datasets used in this study

Category	Dataset source	Use	Diseases	Modality	Testing
Training and internal validation	SEED Study (SCES 2, SINDI 2) (Singapore) [37]	Training and internal test for segmentation	Patients identified with retinal fluid; and patients with non-fluid conditions (ERM, PED, macular hole)	Heidelberg Spectralis SD-OCT	Segmentation only
	Kermany et. al [27], Kaggle OCT Image dataset	Training and internal test for classification	Patients with choroidal neovascularization (CNV), DME, or AMD; and Normal patients	Heidelberg Spectralis SD-OCT	Segmentation inference; classification test
External validation	Severance Eye Hospital (South Korea)	External validation to test segmentation quality	AMD or DME patients identified with retinal fluid	Heidelberg Spectralis SD-OCT	Segmentation only
	Westmead Hospital (Sydney, Australia)	External validation to test classification CNN	DME patients and normal patients	Heidelberg Spectralis SD-OCT	Segmentation inference; classification test