Abstract
The Colonoscopic Withdrawal Time (CWT) is the time required to withdraw the endoscope during a colonoscopy procedure. Estimating the CWT has several applications, including as a performance metric for gastroenterologists, and as an augmentation to polyp detection systems. We present a method for estimating the CWT directly from colonoscopy video based on three separate modules: egomotion computation; depth estimation; and anatomical landmark classification. Features are computed based on the modules’ outputs, which are then used to classify each frame as representing forward, stagnant, or backward motion. This allows for the optimal detection of the change points between these phases based on efficient maximization of the likelihood; from which the CWT follows directly. We collect a dataset consisting of 788 videos of colonoscopy procedures, with the CWT for each annotated by gastroenterologists. Our algorithm achieves a mean error of 1.20 min, which nearly matches the inter-rater disagreement of 1.17 min.
Original language | English |
---|---|
Title of host publication | Computer Vision – ECCV 2022 Workshops, Proceedings |
Editors | Leonid Karlinsky, Tomer Michaeli, Ko Nishino |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 495-512 |
Number of pages | 18 |
ISBN (Print) | 9783031250651 |
DOIs | |
State | Published - 2023 |
Event | 17th European Conference on Computer Vision, ECCV 2022 - Tel Aviv, Israel Duration: 23 Oct 2022 → 27 Oct 2022 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 13803 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 17th European Conference on Computer Vision, ECCV 2022 |
---|---|
Country/Territory | Israel |
City | Tel Aviv |
Period | 23/10/22 → 27/10/22 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Colonoscopy
- Detection
- Visual odometry
- Withdrawal time
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science