semantic_scholarComput. Methods Programs Biomed.2026-08-01
A modular deep learning pipeline for stromal TILs scoring in breast cancer H&E slides
Shrief Abdelazeez, Faisal Ahmed, Laia Adalid Llansa, Krzysztof Siemion, Carlos López, Marylène Lejeune, et al.
TL;DR: This work presents a modular deep learning pipeline that delivers fully automated and continuous stromal TILs scores in line with the International Immuno-Oncology Biomarker Working Group (IIOBWG) guidelines and is interpretable: each stage produces human-readable outputs.
BACKGROUND AND OBJECTIVE Tumor-infiltrating lymphocytes (TILs) are an important indicator of immune activity in breast cancer, yet scoring them consistently on H&E slides remains challenging in routine pathology. This work presents a modular deep learning pipeline that delivers f…