UD Ureter-Uterine Artery-Nerve Dataset

The UD Ureter-Uterine Artery-Nerve Dataset contains 586 images captured from 38 laparoscopic surgeries with corresponding masks for binary and multiclass semantic segmentation annotated by gynecological experts from the University of Debrecen. The aim of this dataset is to provide image data for automatic organ segmentation and differentiation during laparoscopic hysterectomy. Our dataset can be used to train semantic segmentation models to provide pixel-wise detection of the three labelled organs: ureter, uterine artery and nerves or train them to distinguish the ureter from the other organs since this is a main concern and challenge when the surgeons perform the laparoscopic hysterectomy.