Ziyue Xu 0001, Andriy Myronenko, Dong Yang 0005, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu. Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. In Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li 0001, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II. Volume 13432 of Lecture Notes in Computer Science, pages 77-87, Springer, 2022. [doi]
@inproceedings{XuMYRZWX22,
title = {Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study},
author = {Ziyue Xu 0001 and Andriy Myronenko and Dong Yang 0005 and Holger R. Roth and Can Zhao and Xiaosong Wang and Daguang Xu},
year = {2022},
doi = {10.1007/978-3-031-16434-7_8},
url = {https://doi.org/10.1007/978-3-031-16434-7_8},
researchr = {https://researchr.org/publication/XuMYRZWX22},
cites = {0},
citedby = {0},
pages = {77-87},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II},
editor = {Linwei Wang and Qi Dou and P. Thomas Fletcher and Stefanie Speidel and Shuo Li 0001},
volume = {13432},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-16434-7},
}