An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast Cancer
- DOI
- 10.1016/j.ajpath.2026.07.007
- Published
- 2026-08
- Container
- The American Journal of Pathology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ajpath.2026.07.007,
title = {An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast Cancer},
author = {Vibha R. Rao and Madhumala K. Sadanandappa and Candice C. Black and Scott M. Palisoul and Adrienne A. Workman and Todd A. MacKenzie and Xiaoying Liu and Mary D. Chamberlin and Louis J. Vaickus and George J. Zanazzi and Shrey S. Sukhadia},
year = {2026},
journal = {The American Journal of Pathology},
doi = {10.1016/j.ajpath.2026.07.007},
url = {https://doi.org/10.1016/j.ajpath.2026.07.007}
}RIS
TY - JOUR TI - An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast Cancer AU - Vibha R. Rao AU - Madhumala K. Sadanandappa AU - Candice C. Black AU - Scott M. Palisoul AU - Adrienne A. Workman AU - Todd A. MacKenzie AU - Xiaoying Liu AU - Mary D. Chamberlin AU - Louis J. Vaickus AU - George J. Zanazzi AU - Shrey S. Sukhadia PY - 2026 JO - The American Journal of Pathology DO - 10.1016/j.ajpath.2026.07.007 UR - https://doi.org/10.1016/j.ajpath.2026.07.007 ER -
APA
Rao, V. R., Sadanandappa, M. K., Black, C. C., Palisoul, S. M., Workman, A. A., MacKenzie, T. A., Liu, X., Chamberlin, M. D., Vaickus, L. J., Zanazzi, G. J., & Sukhadia, S. S. (2026). An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast Cancer. The American Journal of Pathology. https://doi.org/10.1016/j.ajpath.2026.07.007
Source records
- crossref · retrieved 2026-09-26T03:17:35.731Z