- Performance comparison between two computer-aided detection colonoscopy models by trainees using different false positive thresholds: a cross-sectional study in Thailand
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Tiankanon K, Karuehardsuwan J, Aniwan S, Mekaroonkamol P, Sunthornwechapong P, Navadurong H, Tantitanawat K, Mekritthikrai K, Samutrangsi S, Vateekul P, Rerknimitr R
- KMID: 2553759
- Clin Endosc.
- 2024 Mar;57(2):217-225.
- doi: 10.5946/ce.2023.145
Background/Aims: This study aims to compare polyp detection performance of “Deep-GI,” a newly developed artificial intelligence (AI) model, to a previously validated AI model computer-aided polyp detection (CADe) using various... -
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- Real-time semantic segmentation of gastric intestinal metaplasia using a deep learning approach
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Siripoppohn V, Pittayanon R, Tiankanon K, Faknak N, Sanpavat A, Klaikaew N, Vateekul P, Rerknimitr R
- KMID: 2529961
- Clin Endosc.
- 2022 May;55(3):390-400.
- doi: 10.5946/ce.2022.005
Background/Aims: Previous artificial intelligence (AI) models attempting to segment gastric intestinal metaplasia (GIM) areas have failed to be deployed in real-time endoscopy due to their slow inference speeds. Here, we... -
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