Fig. 9
From: Multi-module UNet++ for colon cancer histopathological image segmentation
Comparative analysis of segmentation performance and pruning efficiency of RPAU-Net++. (a)-(c) Dice coefficient distributions of different models across GlaS, CoNIC, and PanNuke datasets from repeated experiments; (d) Relationship between inference time, Dice score, and parameter count under \(L_1\) - \(L_4\) pruning strategies for RPAU-Net++ on the CoNIC dataset.
