Spatial analysis of tumor‐infiltrating lymphocytes in histological sections using deep learning techniques predicts survival in colorectal carcinoma

This study aimed to explore the prognostic impact of spatial distribution of tumor‐infiltrating lymphocytes (TILs) quantified by deep learning (DL) approaches based on digitalized whole‐slide images stained with hematoxylin and eosin in patients with colorectal cancer (CRC). The prognostic impact of...

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Detalles Bibliográficos
Autores principales: Xu, Hongming, Cha, Yoon Jin, Clemenceau, Jean R, Choi, Jinhwan, Lee, Sung Hak, Kang, Jeonghyun, Hwang, Tae Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161341/
https://www.ncbi.nlm.nih.gov/pubmed/35484698
http://dx.doi.org/10.1002/cjp2.273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161341/
https://www.ncbi.nlm.nih.gov/pubmed/35484698
http://dx.doi.org/10.1002/cjp2.273

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