Segmented Masks for Best-Performing Models in A U-Net-Based Approach for Histological Tissue Segmentation Using RCAug Data Augmentation

This dataset contains the segmentation masks corresponding to the best-performing model and augmentation configurations reported in the paper “A U-Net-Based Approach for Histological Tissue Segmentation Using RCAug Data Augmentation” (SIBGRAPI 2025, IEEE Xplore).

For each histology dataset, we provide the predicted masks generated by the top-performing U-Net-based models under the augmentation strategies highlighted in the article, together with concise summary metrics. These files are intended to support result inspection, comparison and reuse in further studies.