Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer

The role of tumor infiltrating lymphocytes (TILs) as a biomarker to predict disease progression and clinical outcomes has generated tremendous interest in translational cancer research. We present an updated and enhanced deep learning workflow to classify 50x50 um tiled image patches (100x100 pixels...

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Detalles Bibliográficos
Autores principales: Abousamra, Shahira, Gupta, Rajarsi, Hou, Le, Batiste, Rebecca, Zhao, Tianhao, Shankar, Anand, Rao, Arvind, Chen, Chao, Samaras, Dimitris, Kurc, Tahsin, Saltz, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889499/
https://www.ncbi.nlm.nih.gov/pubmed/35251953
http://dx.doi.org/10.3389/fonc.2021.806603

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889499/
https://www.ncbi.nlm.nih.gov/pubmed/35251953
http://dx.doi.org/10.3389/fonc.2021.806603

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