Fig. 1 | Scientific Reports

Fig. 1

From: Explainable semi-supervised model for predicting invasion depth of esophageal squamous cell carcinoma based on the IPCL and AVA patterns

Fig. 1

The flowchart of the study. Step #1: self-supervised contrastive learning on large unlabeled images from Suzhou. Step #2: fine-tuning (two methods: blackbox or explainable) on few labeled images from Suzhou. Step #3: test on labeled images from Jintan. This retrospective multicenter study was conducted in two hospitals: the First Affiliated Hospital of Soochow University (Suzhou, the training dataset) and Jintan Affiliated Hospital of Jiangsu University (Jintan, the test dataset).

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