1. Contrastive learning of global and local features for medical image segmentation with limited annotations;chaitanya,2020
2. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015
3. Kvasir-SEG: A Segmented Polyp Dataset
4. Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (isic);codella,2019
5. Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium segmentation;yu;International Conference on Medical Image Computing and Computer-Assisted Intervention,2019