兰丁宫颈组织病理图像数据集(Landing Cervical Histopathological Images Dataset)-LDCH

The LDCH dataset contains 917 cervical histopathological whole-slide images: Cervicitis (156), CINI (305), CINII (296), CINIII (162), Cancer (25). Among them, 286 images were released with local annotations to mark out several lesion areas. The areas can be classified into 9 categories: CINI, CINII, CINIII, CINII involve gland, CINIII involve gland, gland, gland squamous metaplasia, koilocyte and squamous epithelium.

The images were collected by Landing Artificial Intelligence Center for Pathological Diagnosis. They scanned the histopathological sections at 40x magnification with the scanner produced by Jiangfeng. For each image, there were at least two deputy chief pathologists to scrutinize it for labelling.

Using the LDCH dataset, please cite this:
---