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Post-surgical Endometriosis Segmentation in Laparoscopic Videos

Published: October 14, 2025 | arXiv ID: 2510.13899v1

By: Andreas Leibetseder , Klaus Schoeffmann , Jörg Keckstein and more

Potential Business Impact:

Helps doctors find a hidden disease during surgery.

Business Areas:
Image Recognition Data and Analytics, Software

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 laparoscopic surgery videos, annotating identified implant regions with multi-colored overlays and displaying a detection summary for improved video browsing.

Country of Origin
🇩🇪 Germany

Page Count
4 pages

Category
Computer Science:
CV and Pattern Recognition