Fig. 6: Cluster analysis of high-score patches from the PathoRiCH-predicted favorable and poor groups.

(Scale bar = 50 µm for all patch images) (a, b) Clusters were initially created using Gaussian mixture models (GMMs), with high-score patches serving as inputs for each group. The resulting clusters were then evaluated by pathologists, who further combined clusters with similar histological features. The final grouping comprised four favorable and four poor histologically distinct clusters. c The combination of high-score patches from the favorable and poor predicted groups was clustered based on their histological similarities using GMM. Seven clusters were created, and two favorable group–dominant clusters and two poor group–dominant clusters were identified.