The diagnostic ability to classify neoplasias occurring in inflammatory bowel disease by artificial intelligence and endoscopists: A pilot study

Background and Aim Although endoscopic resection with careful surveillance instead of total proctocolectomy become to be permitted for visible low‐grade dysplasia, it is unclear how accurately endoscopists can differentiate these lesions, as classifying neoplasias occurring in inflammatory bowel dis...

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Veröffentlicht in:	Journal of gastroenterology and hepatology 2022-08, Vol.37 (8), p.1610-1616
Hauptverfasser:	Yamamoto, Shumpei, Kinugasa, Hideaki, Hamada, Kenta, Tomiya, Masahiro, Tanimoto, Takayoshi, Ohto, Akimitsu, Toda, Akira, Takei, Daisuke, Matsubara, Minoru, Suzuki, Seiyu, Inoue, Kosuke, Tanaka, Takehiro, Hiraoka, Sakiko, Okada, Hiroyuki, Kawahara, Yoshiro
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adenocarcinoma Adenoma Artificial intelligence classification colitic cancer convolutional neural network Dysplasia Endoscopy Inflammatory bowel disease Inflammatory bowel diseases Intestine neoplasia occurring in inflammatory bowel disease Neural networks
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