MS-UNet: Swin Transformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data

Haoyuan Chen, Yufei Han, Yanyi Li, Pin Xu, Kuan Li, Jianping Yin. MS-UNet: Swin Transformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data. In Qingshan Liu 0001, Hanzi Wang, Zhanyu Ma, Weishi Zheng 0001, Hongbin Zha, Xilin Chen 0001, Liang Wang, Rongrong Ji, editors, Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XIII. Volume 14437 of Lecture Notes in Computer Science, pages 472-483, Springer, 2023. [doi]

@inproceedings{ChenHLXLY23,
  title = {MS-UNet: Swin Transformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data},
  author = {Haoyuan Chen and Yufei Han and Yanyi Li and Pin Xu and Kuan Li and Jianping Yin},
  year = {2023},
  doi = {10.1007/978-981-99-8558-6_39},
  url = {https://doi.org/10.1007/978-981-99-8558-6_39},
  researchr = {https://researchr.org/publication/ChenHLXLY23},
  cites = {0},
  citedby = {0},
  pages = {472-483},
  booktitle = {Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XIII},
  editor = {Qingshan Liu 0001 and Hanzi Wang and Zhanyu Ma and Weishi Zheng 0001 and Hongbin Zha and Xilin Chen 0001 and Liang Wang and Rongrong Ji},
  volume = {14437},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-8558-6},
}