RTUNet: Residual transformer UNet specifically for pancreas segmentation

Cheng-Jian Qiu, Zhe Liu, Yuqing Song, Jing Yin, Kai Han, Yan Zhu, Yi Liu, Victor S. Sheng

Abstract: Highlights•Residual transformer block can captures the relative pancreas position.•Dual down-sampling block addresses inaccurate pancreas morphology caused by pooling.•Hausdorff distance constraint makes the network focus on the pancreas boundary.•Residual transformer UNet is specifically proposed for pancreas segmentation.