Cervical whole slide images and annotations for automated reporting of cervical biopsies using artificial intelligence

The dataset comprises 2540 whole slide images of cervical cancer biopsies scanned using a Phillips Ultra Fast Scanner (UFS) with resolution equivalent to 40x or more specifically 0.25 microns/pixel, and stored in the isyntax file format. The dataset also contains detailed annotations for each slide specifying areas as malignant, high grade, low grade or normal/inflammation. Finally there is an index of slides, with the overall classification and sub -classifications for each slide and if they are part of training, validation or testing sets.