Extended Data Fig. 1: Illustration of training pipeline of RETFound and comparison baselines. | Nature

Extended Data Fig. 1: Illustration of training pipeline of RETFound and comparison baselines.

From: A foundation model for generalizable disease detection from retinal images

Extended Data Fig. 1

The compared baselines include SL-ImageNet, SSL-ImageNet, and SSL-Retinal. SL-ImageNet trains the model via supervised learning on ImageNet-21k (14 million images and categorical labels); SSL-ImageNet trains the model on ImageNet-1k (1.4 million images) via SSL; SSL-Retinal trains the model on retinal images via SSL from scratch; RETFound trains the model on retinal images via SSL from the weights of SSL-ImageNet. *kayak picture is used to illustrate the method pipeline.

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