Deep-Learning–Based Characterization of Tumor-Infiltrating Lymphocytes in Breast Cancers From Histopathology Images and Multiomics Data

PURPOSE: Tumor-infiltrating lymphocytes (TILs) and their spatial characterizations on whole-slide images (WSIs) of histopathology sections have become crucial in diagnosis, prognosis, and treatment response prediction for different cancers. However, fully automatic assessment of TILs on WSIs current...

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Detalles Bibliográficos
Autores principales: Lu, Zixiao, Xu, Siwen, Shao, Wei, Wu, Yi, Zhang, Jie, Han, Zhi, Feng, Qianjin, Huang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2020
Materias:
Original Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265782/
https://www.ncbi.nlm.nih.gov/pubmed/32453636
http://dx.doi.org/10.1200/CCI.19.00126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265782/
https://www.ncbi.nlm.nih.gov/pubmed/32453636
http://dx.doi.org/10.1200/CCI.19.00126

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