Ganzhou Municipal Hospital Gland dataset (GZMH_GLAND)

While deep learning methods can assist pathologists, datasets specifically targeting breast cancer pathological images remain scarce. Existing datasets often originate from academic challenges, exhibiting limitations such as restricted scale and the over-cleaning of images, which differ from real-world clinical scenarios.

We present the Ganzhou Municipal Hospital Gland dataset (GZMH_GLAND), a collection of breast cancer pathological images sourced from a clinical environment, designed for gland segmentation and classification of benign and malignant tumors. The dataset comprises 1,420 high-power field images (1024×1024 pixels) extracted from 31 breast cancer patients. It is accompanied by pixel-level segmentation masks and image-level classification labels.