Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images

Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images

Abstract Programmed death-ligand 1 (PD-L1) expression is currently used in the clinic to assess eligibility for immune-checkpoint inhibitors via the tumor proportion score (TPS), but its efficacy is limited by high interobserver variability. Multiple papers have presented systems for the automatic q...

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Bibliographic Details
Main Authors: Leander van Eekelen, Joey Spronck, Monika Looijen-Salamon, Shoko Vos, Enrico Munari, Ilaria Girolami, Albino Eccher, Balazs Acs, Ceren Boyaci, Gabriel Silva de Souza, Muradije Demirel-Andishmand, Luca Dulce Meesters, Daan Zegers, Lieke van der Woude, Willemijn Theelen, Michel van den Heuvel, Katrien Grünberg, Bram van Ginneken, Jeroen van der Laak, Francesco Ciompi
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-57067-1

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https://doi.org/10.1038/s41598-024-57067-1

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