Development and validation of an interpretable prediction model using spatial patterns of tumor-infiltrating lymphocytes in H&E-stained whole-slide images for immune subtyping of lung adenocarcinoma.

Abstract excerpt

Objective: To develop an interpretable prediction model for lung adenocarcinoma immune subtyping by quantifying spatial distribution patterns of tumor-infiltrating lymphocytes in H&E whole-slide images, providing a computational tool for tumor immune microenvironment evaluation. Methods: Immune subtyping was performed on the TCGA lung adenocarcinoma cohort using ssGSEA to quantify immune gene set activity,...

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