Fig. 2: Representative patches for clustering-derived features associated with predictions of the deep learning system (DLS).
From: Interpretable survival prediction for colorectal cancer using deep learning
Sample patches for a set of 10 clustering-derived features are shown. For each feature, the ten patches closest to the centroid were selected, after filtering to ensure they were from distinct cases (“Methods”). The case-level quantitation of these 4 high-risk and 6 low-risk features explains the majority of the variance in case-level DLS scores. Features are ranked according to the average DLS score, which is provided in parentheses. Scale bar indicates 0.1 mm.
