Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images

ArXi:2603.18461v1 Announce Type: new Estimating slide- and patch-level gene expression profiles from pathology images enables rapid and low-cost molecular analysis with broad clinical impact. Despite strong results, existing approaches treat gene expression as a mere slide- or spot-level signal and do not incorporate the fact that the measured expression arises from the aggregation of underlying cell-level expression. To explicitly