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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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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