Fig. 6: Detailed architecture of CereVessPro and CereVessSeg for cerebrovascular segmentation. | Nature Communications

Fig. 6: Detailed architecture of CereVessPro and CereVessSeg for cerebrovascular segmentation.

From: Self-supervised learning for accurately modelling hierarchical evolutionary patterns of cerebrovasculature

Fig. 6

The encoder and the first two stages of the decoder from the segmentation model CereVessSeg are initially pretrained using the contrastive learning method CereVessPro with a large-scale unannotated dataset. Afterward, the entire CereVessSeg model is finetuned using the annotated dataset.

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