1. MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge. Synapse multi-organ segmentation dataset (2015). https://www.synapse.org/#!Synapse:syn3193805/wiki/217789. Accessed 10 July 2023
2. Boykov, Y.Y., Jolly, M.P.: Interactive graph cuts for optimal boundary & region segmentation of objects in nd images. In: Proceedings Eighth IEEE International Conference on Computer Vision, ICCV 2001, vol. 1, pp. 105–112. IEEE (2001)
3. Lecture Notes in Computer Science;G Bredell,2018
4. Cao, H., et al.: Swin-unet: unet-like pure transformer for medical image segmentation. In: Proceedings of the European Conference on Computer Vision Workshops (ECCVW) (2022)
5. Chen, J., et al.: Transunet: transformers make strong encoders for medical image segmentation. arXiv preprint arXiv:2102.04306 (2021)