1. The 2023 kidney and kidney tumor segmentation challenge. https://kits-challenge.org/kits23/
2. Chhikara, B.S., Parang, K.: Global Cancer Statistics 2022: the trends projection analysis. Chem. Biol. Lett. 10(1), 451–451 (2023)
3. Heller, N., et al.: The KiTS21 challenge: automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT (2023)
4. Isensee, F., Jaeger, P.F., Kohl, S.A., Petersen, J., Maier-Hein, K.H.: nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18(2), 203–211 (2021)
5. Lin, T.Y., Goyal, P., Girshick, R., He, K., Dollár, P.: Focal loss for dense object detection. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2980–2988 (2017)