Post-surgical Endometriosis Segmentation in Laparoscopic Videos

October 14, 2025 Β· Declared Dead Β· πŸ› International Conference on Content-Based Multimedia Indexing

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Andreas Leibetseder, Klaus Schoeffmann, JΓΆrg Keckstein, Simon Keckstein arXiv ID 2510.13899 Category cs.CV: Computer Vision Cross-listed cs.LG, cs.MM Citations 2 Venue International Conference on Content-Based Multimedia Indexing Last Checked 4 months ago
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 laparoscopic surgery videos, annotating identified implant regions with multi-colored overlays and displaying a detection summary for improved video browsing.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Computer Vision

πŸŒ… πŸŒ… Old Age

Fast R-CNN

Ross Girshick

cs.CV πŸ› ICCV πŸ“š 27.7K cites 11 years ago

Died the same way β€” πŸ‘» Ghosted