UP-SAM: Uncertainty-Informed Adaptation of Segment Anything Model for Semi-Supervised Medical Image Segmentation

Wenjing Lu, Yi Hong, Yang Yang 0030. UP-SAM: Uncertainty-Informed Adaptation of Segment Anything Model for Semi-Supervised Medical Image Segmentation. In Mario Cannataro, Huiru Jane Zheng, Lin Gao 0006, Jianlin Cheng, João Luís de Miranda, Ester Zumpano, Xiaohua Hu 0001, Young-Rae Cho, Taesung Park, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024. pages 2256-2261, IEEE, 2024. [doi]

@inproceedings{LuH024-0,
  title = {UP-SAM: Uncertainty-Informed Adaptation of Segment Anything Model for Semi-Supervised Medical Image Segmentation},
  author = {Wenjing Lu and Yi Hong and Yang Yang 0030},
  year = {2024},
  doi = {10.1109/BIBM62325.2024.10822398},
  url = {https://doi.org/10.1109/BIBM62325.2024.10822398},
  researchr = {https://researchr.org/publication/LuH024-0},
  cites = {0},
  citedby = {0},
  pages = {2256-2261},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024},
  editor = {Mario Cannataro and Huiru Jane Zheng and Lin Gao 0006 and Jianlin Cheng and João Luís de Miranda and Ester Zumpano and Xiaohua Hu 0001 and Young-Rae Cho and Taesung Park},
  publisher = {IEEE},
  isbn = {979-8-3503-8622-6},
}