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 Heilong...
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2025
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| Summary: | 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. |
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