Copyright
©The Author(s) 2025.
World J Gastroenterol. Jul 21, 2025; 31(27): 106819
Published online Jul 21, 2025. doi: 10.3748/wjg.v31.i27.106819
Published online Jul 21, 2025. doi: 10.3748/wjg.v31.i27.106819
Figure 3 Representative images of small bowel abnormalities correctly detected using artificial intelligence-assisted reading in the validation data set.
A: Correct detection of erosions/ulcers (left), angiodysplasia (middle), and bleeding (right) using both artificial intelligence (AI)-assisted reading and conventional readings; B: Correct detection of angiodysplasia (left) and erosions/ulcers (right) using AI-assisted reading; however, conventional reading missed these abnormalities.
- Citation: Kwon YS, Park TY, Kim SE, Park Y, Lee JG, Lee SP, Kim KO, Jang HJ, Yang YJ, Cho BJ. Deep learning-based localization and lesion detection in capsule endoscopy for patients with suspected small-bowel bleeding. World J Gastroenterol 2025; 31(27): 106819
- URL: https://www.wjgnet.com/1007-9327/full/v31/i27/106819.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i27.106819