Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood. Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. 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 387-397, Springer, 2022. [doi]
@inproceedings{CarmichaelSCWCM22,
title = {Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling},
author = {Iain Carmichael and Andrew H. Song and Richard J. Chen and Drew F. K. Williamson and Tiffany Y. Chen and Faisal Mahmood},
year = {2022},
doi = {10.1007/978-3-031-16434-7_38},
url = {https://doi.org/10.1007/978-3-031-16434-7_38},
researchr = {https://researchr.org/publication/CarmichaelSCWCM22},
cites = {0},
citedby = {0},
pages = {387-397},
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},
}