Post-surgical Endometriosis Segmentation in Laparoscopic Videos
Leibetseder, Andreas, Schoeffmann, Klaus, Keckstein, Jörg, Keckstein, Simon
–arXiv.org Artificial Intelligence
Abstract--Endometriosis is a common women's condition exhibiting a manifold visual appearance in various body-internal locations. Having such properties makes its identification very difficult and error-prone, at least for laymen and non-specialized medical practitioners. In an attempt to provide assistance to gynecologic physicians treating endometriosis, this demo paper describes a system that is trained to segment one frequently occurring visual appearance of endometriosis, namely dark endometrial implants. The system is capable of analyzing la-paroscopic surgery videos, annotating identified implant regions with multi-colored overlays and displaying a detection summary for improved video browsing. Endoscopic surgical procedures are well established particularly in gynecology.
arXiv.org Artificial Intelligence
Oct-17-2025
- Country:
- Asia > South Korea
- Europe
- Austria (0.04)
- Germany > Bavaria
- Upper Bavaria > Munich (0.04)
- Genre:
- Research Report (0.40)
- Industry:
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (1.00)
- Vision (0.71)
- Information Technology > Artificial Intelligence