ECP-GAN: Generating Endometrial Cancer Pathology Images and Segmentation Labels via Two-Stage Generative Adversarial Networks.
Journal:
Annals of surgical oncology
PMID:
40090960
Abstract
BACKGROUND: Endometrial cancer is one of the most common tumors of the female reproductive system and ranks third in the world list of gynecological malignancies that cause death. However, due to the privacy and complexity of pathology images, it is difficult to obtain pathology images and corresponding annotation, which affect the accuracy of pathology image segmentation and analysis.