Automated deep learning-based assessment of tumour-infiltrating lymphocyte density determines prognosis in colorectal cancer

Automated deep learning-based assessment of tumour-infiltrating lymphocyte density determines prognosis in colorectal cancer

Abstract Background The presence of tumour-infiltrating lymphocytes (TILs) is a well-established prognostic biomarker across multiple cancer types, with higher TIL counts being associated with lower recurrence rates and improved patient survival. We aimed to examine whether an automated intraepithel...

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Bibliographic Details
Main Authors: Joshua Millward, Zhen He, Aiden Nibali, Dmitri Mouradov, Lisa A Mielke, Kelly Tran, Angela Chou, Nicholas J Hawkins, Robyn L Ward, Anthony J Gill, Oliver M Sieber, David S Williams
Format: Article
Language:English
Published: BMC 2025-03-01
Series:Journal of Translational Medicine
Subjects:
Computational pathology
Image analysis
Tissue segmentation
Cell detection
Online Access:https://doi.org/10.1186/s12967-025-06254-3
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https://doi.org/10.1186/s12967-025-06254-3

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