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Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer
Tumor-infiltrating lymphocytes (TILs) have been recognized as key players in the tumor microenvironment of breast cancer, but substantial interobserver variability among pathologists has impeded its utility as a biomarker. We developed a deep learning (DL)-based TIL analyzer to evaluate stromal TILs...
Autores principales: | Choi, Sangjoon, Cho, Soo Ick, Jung, Wonkyung, Lee, Taebum, Choi, Su Jin, Song, Sanghoon, Park, Gahee, Park, Seonwook, Ma, Minuk, Pereira, Sérgio, Yoo, Donggeun, Shin, Seunghwan, Ock, Chan-Young, Kim, Seokhwi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469174/ https://www.ncbi.nlm.nih.gov/pubmed/37648694 http://dx.doi.org/10.1038/s41523-023-00577-4 |
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