Weakly-supervised tumor purity prediction from frozen H&E stained slides.
- DOI
- 10.1016/j.ebiom.2022.104067
- Published
- 2022 Jun
- Container
- EBioMedicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ebiom.2022.104067,
title = {Weakly-supervised tumor purity prediction from frozen H\&E stained slides.},
author = {Brendel M and Getseva V and Assaad MA and Sigouros M and Sigaras A and Kane T and Khosravi P and Mosquera JM and Elemento O and Hajirasouliha I},
year = {2022},
journal = {EBioMedicine},
doi = {10.1016/j.ebiom.2022.104067},
url = {https://doi.org/10.1016/j.ebiom.2022.104067}
}RIS
TY - JOUR TI - Weakly-supervised tumor purity prediction from frozen H&E stained slides. AU - Brendel M AU - Getseva V AU - Assaad MA AU - Sigouros M AU - Sigaras A AU - Kane T AU - Khosravi P AU - Mosquera JM AU - Elemento O AU - Hajirasouliha I PY - 2022 JO - EBioMedicine DO - 10.1016/j.ebiom.2022.104067 UR - https://doi.org/10.1016/j.ebiom.2022.104067 ER -
APA
M, B., V, G., MA, A., M, S., A, S., T, K., P, K., JM, M., O, E., & I, H. (2022). Weakly-supervised tumor purity prediction from frozen H&E stained slides.. EBioMedicine. https://doi.org/10.1016/j.ebiom.2022.104067
Source records
- pubmed · retrieved 2026-09-26T15:50:40.763Z