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

• Autores principales: Vitchaya Siripoppohn (Autor), Rapat Pittayanon (Autor), Kasenee Tiankanon (Autor), Natee Faknak (Autor), Anapat Sanpavat (Autor), Naruemon Klaikaew (Autor), Peerapon Vateekul (Autor), Rungsun Rerknimitr (Autor)
• Formato: Libro
• Publicado: Korean Society of Gastrointestinal Endoscopy, 2022-05-01T00:00:00Z.
• Materias: article
• Acceso en línea: Connect to this object online.

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...