Development of an Artificial Intelligence Diagnostic System Using Linked Color Imaging for Barrett’s Esophagus

Development of an Artificial Intelligence Diagnostic System Using Linked Color Imaging for Barrett’s Esophagus

<b>Background:</b> Barrett’s esophagus and esophageal adenocarcinoma cases are increasing as gastroesophageal reflux disease increases. Using artificial intelligence (AI) and linked color imaging (LCI), our aim was to establish a method of diagnosis for short-segment Barrett’s esophagus...

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Bibliographic Details
Main Authors: Tsutomu Takeda, Daisuke Asaoka, Hiroya Ueyama, Daiki Abe, Maiko Suzuki, Yoshihiro Inami, Yasuko Uemura, Momoko Yamamoto, Tomoyo Iwano, Ryota Uchida, Hisanori Utsunomiya, Shotaro Oki, Nobuyuki Suzuki, Atsushi Ikeda, Yoichi Akazawa, Kohei Matsumoto, Kumiko Ueda, Mariko Hojo, Shuko Nojiri, Tomohiro Tada, Akihito Nagahara
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Journal of Clinical Medicine
Subjects:
artificial intelligence
Barrett’s esophagus
computer-aided diagnosis
linked color imaging
Vision Transformer
Online Access:https://www.mdpi.com/2077-0383/13/7/1990

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https://www.mdpi.com/2077-0383/13/7/1990

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