Fig. 2.

Human-in-the-loop training pipeline for HistoROI: Actions in red boxes are automatic while those in green boxes are manual. (a) Embeddings of the patches of WSI are divided into clusters. (b) Clusters are manually annotated. Heterogeneous clusters are re-clustered (shown using a dotted line). (c) Newly annotated data is added to previously annotated data and HistoROI is trained with the updated data. (d) The trained model is applied (tested) on multiple WSIs. WSIs with poor performance (shown with X) are manually identified and annotated for the next iteration of training.