Training patch images and masks for semantic segmentation of human synovial H&E whole slide images

This dataset contains patch images and corresponding segmentation masks extracted from hematoxylin and eosin-stained whole-slide images of human synovial tissue. The patches were generated for training deep learning–based semantic segmentation models, enabling localized learning of tissue structures and classes. Each image patch is paired with an annotation mask representing pixel-level labels for supervised learning.