Publication: Post-surgical Endometriosis Segmentatio...
Master data
| Title: | Post-surgical Endometriosis Segmentation in Laparoscopic Videos |
| Subtitle: | |
| 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. |
| Keywords: | Endometriosis, Lesion Segmentation, Mask R-CNN |
| Publication type: | Article in Proceedings (Authorship) |
| Publication date: | 28.06.2021 (Print) |
| Published by: |
CBMI 2021 Proceedings of the International Conference on Content-Based Multimedia Indexing
CBMI 2021 Proceedings of the International Conference on Content-Based Multimedia Indexing
(
IEEE Xplore Digital Library;
)
to publication |
| Title of the series: | - |
| Volume number: | - |
| First publication: | Yes |
| Version: | - |
| Page: | pp. 1 - 4 |
Versionen
| Keine Version vorhanden |
| Publication date: | 24.06.2021 |
| ISBN (e-book): | - |
| eISSN: | - |
| DOI: | http://dx.doi.org/10.1109/cbmi50038.2021.9461900 |
| Homepage: | - |
| Open access |
|
| Publication date: | 28.06.2021 |
| ISBN: |
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| ISSN: | 1949-3991 |
| Homepage: | https://ieeexplore.ieee.org/document/9461900 |
Authors
| Andreas Leibetseder (internal) |
| Klaus Schöffmann (internal) |
| Jorg Keckstein (external) |
| Simon Keckstein (external) |
Assignment
| Organisation | Address | ||||
|---|---|---|---|---|---|
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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| Research Cluster | No research Research Cluster selected |
| Peer reviewed |
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Cooperations
| Organisation | Address | ||||
|---|---|---|---|---|---|
Universität Ulm
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DE
- 89069
Ulm |
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Ludwig-Maximilians-Universität
|
DE - 80333 München |
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| Publications: | No related publications |
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