A novel deep learning framework for automatic scoring of PD-L1 expression in non-small cell lung cancer

A novel deep learning framework for automatic scoring of PD-L1 expression in non-small cell lung cancer

A critical predictive marker for anti-PD-1/PD-L1 therapy is programmed death-ligand 1 (PD-L1) expression, assessed by immunohistochemistry (IHC). This paper explores a novel automated framework using deep learning to accurately evaluate PD-L1 expression from whole slide images (WSIs) of non-small c...

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Bibliographic Details
Main Authors: Saidul Kabir, Muhammad E. H. Chowdhury, Rusab Sarmun, Semir Vranić, Rafif Mahmood Al Saady, Inga Rose, Zoran Gatalica
Format: Article
Language:English
Published: Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2025-03-01
Series:Biomolecules & Biomedicine
Subjects:
Programmed death-ligand 1
PD-L1
non-small cell lung cancer
NSCLC
artificial intelligence
AI
Online Access:https://www.bjbms.org/ojs/index.php/bjbms/article/view/12056
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