A large annotated cervical cytology images dataset for AI models to aid cervical cancer screening

This dataset represents a collection of cytology images with exhaustive annotations of abnormal cervical cells, containing 8,037 non-overlapping images of 2048x2048 pixels each. The dataset was derived from 129 scanned Thinprep cytologic test (TCT) slide images reported as abnormal levels at Heilongjiang Maternal and Child Health Hospital. Three professional pathologists then conducted a detailed annotation and review process on these cytology images to generate usable annotation files. Finally, the complete dataset consists all cytology images in .png file format and annotation files of abnormal cells for each cytology image in .xml file format.本数据集为一组搭载详尽异常宫颈细胞标注的细胞学图像集合，共包含8037张互不重叠的2048×2048像素分辨率图像。本数据集源自黑龙江省妇幼保健院提供的129张经扫描的薄层液基细胞学检查（Thinprep Cytologic Test, TCT）玻片图像，这些玻片均被判定为异常级别。随后，三名专业病理学家对上述细胞学图像开展了细致的标注与复核流程，生成可用的标注文件。最终，完整数据集包含所有以.png格式存储的细胞学图像，以及对应每张图像的异常细胞标注文件（均以.xml格式存储）。