Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions
URL https://www.medrxiv.org/content/10.1101/2025.06.06.25328492v1.full.pdf Stage Normal Science Paradigm framing The preprint operates within the dominant paradigm of using deep learning, specifically attention-based models, for image analysis and multi-modal data integration in computational pathology. It adheres to the established practices of training and validating models on large datasets, using metrics like AUROC and AUPR for evaluation, and exploring […]