Abstract 7392: Machine learning-based identification of H&E-derived morphologic features associated with CD8+ T cell immune exclusion
- DOI
- 10.1158/1538-7445.am2024-7392
- Published
- 2024-03-22
- Container
- Cancer Research
- Publisher
- American Association for Cancer Research (AACR)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1158/1538-7445.am2024-7392,
title = {Abstract 7392: Machine learning-based identification of H\&E-derived morphologic features associated with CD8+ T cell immune exclusion},
author = {Yanchao Wang and Fredrick D. Gootkind and Florent Peyraud and Jean-Philippe Guégan and Antoine Italiano and G. Travis Clifton and Laura A. Dillon and Xinwei Sher},
year = {2024},
journal = {Cancer Research},
doi = {10.1158/1538-7445.am2024-7392},
url = {https://doi.org/10.1158/1538-7445.am2024-7392}
}RIS
TY - JOUR TI - Abstract 7392: Machine learning-based identification of H&E-derived morphologic features associated with CD8+ T cell immune exclusion AU - Yanchao Wang AU - Fredrick D. Gootkind AU - Florent Peyraud AU - Jean-Philippe Guégan AU - Antoine Italiano AU - G. Travis Clifton AU - Laura A. Dillon AU - Xinwei Sher PY - 2024 JO - Cancer Research DO - 10.1158/1538-7445.am2024-7392 UR - https://doi.org/10.1158/1538-7445.am2024-7392 ER -
APA
Wang, Y., Gootkind, F. D., Peyraud, F., Guégan, J., Italiano, A., Clifton, G. T., Dillon, L. A., & Sher, X. (2024). Abstract 7392: Machine learning-based identification of H&E-derived morphologic features associated with CD8+ T cell immune exclusion. Cancer Research. https://doi.org/10.1158/1538-7445.am2024-7392
Source records
- crossref · retrieved 2026-09-26T11:25:32.733Z