UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation

Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang

Abstract: Highlights•Hierarchical transformer design provides local spatially information.•Simplified design with improved robustness and efficiency.•Performance on considerable numbers of tissue classes is positive.•Validated the model’s generalizability, scalability and data efficiency.•The model is public available at MONAI Model.