x
Filter:
Filters applied
- Artificial Intelligence
- AbstractRemove Abstract filter
- Bagci, UlasRemove Bagci, Ulas filter
Publication Date
Please choose a date range between 2019 and 2019.
Artificial Intelligence
1 Results
- Sunday abstract
Su1741 COLORECTAL POLYP DIAGNOSIS WITH CONTEMPORARY ARTIFICIAL INTELLIGENCE
Gastrointestinal EndoscopyVol. 89Issue 6SupplementAB403Published in issue: June, 2019- Pujan Kandel
- Rodney LaLonde
- Victor Ciofoaia
- Michael B. Wallace
- Ulas Bagci
Cited in Scopus: 0Published literatures have reported that 26% of diminutive neoplastic colorectal polyps are missed in a single colonoscopy. This may be due to blind spots or human error during colonoscopy. Artificial intelligence based colorectal polyp detection may improve the polyp detection. In this study, we aim to develop newer models of artificial intelligence (AI) methods to improve accuracy in detection of malignant diminutive colorectal polyps.