Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT

no code implementations • 29 Sep 2022 • Karin Stacke, Indrani Bhattacharya, Justin R. Tse, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

CorrFABR consists of three main steps: (1) Feature Aggregation where region-level features are extracted from radiology and pathology images, (2) Fusion where radiology features correlated with pathology features are learned on a region level, and (3) Prediction where the learned correlated features are used to distinguish aggressive from indolent clear cell RCC using CT alone as input.

Binary Classification