Real-time semantic segmentation of gastric intestinal metaplasia using a deep learning approach

Real-time semantic segmentation of gastric intestinal metaplasia using a deep learning approach

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 propose a new GIM segmentation AI model with inference speeds faster than 25 fra...

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Main Authors: Vitchaya Siripoppohn (Author), Rapat Pittayanon (Author), Kasenee Tiankanon (Author), Natee Faknak (Author), Anapat Sanpavat (Author), Naruemon Klaikaew (Author), Peerapon Vateekul (Author), Rungsun Rerknimitr (Author)
Format: Book
Published: Korean Society of Gastrointestinal Endoscopy, 2022-05-01T00:00:00Z.
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