Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms

Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms

Summary: Background: The prognostic value of tumor-infiltrating lymphocytes (TILs) assessed by machine learning algorithms in melanoma patients has been previously demonstrated but has not been widely adopted in the clinic. We evaluated the prognostic value of objective automated electronic TILs (e...

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Main Authors: Thazin Nwe Aung, Saba Shafi, James S. Wilmott, Saeed Nourmohammadi, Ioannis Vathiotis, Niki Gavrielatou, Aileen Fernandez, Vesal Yaghoobi, Tobias Sinnberg, Teresa Amaral, Kristian Ikenberg, Kiarash Khosrotehrani, Iman Osman, Balazs Acs, Yalai Bai, Sandra Martinez-Morilla, Myrto Moutafi, John F. Thompson, Richard A. Scolyer, David L. Rimm
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:EBioMedicine
Subjects:
Tumor-infiltrating lymphocytes (TILs)
Digital image analysis
Machine learning cell segmentation algorithm
Early-stage melanoma
Prognostic marker
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396422003243

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