Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification

Ilkin Isler, Debesh Jha, Curtis Lisle +6

In this study, our goal is to show the impact of self-supervised pre-training of transformers for organ at risk (OAR) and tumor segmentation as compared to costly fully-supervised…