Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos)-Reference-Cited by-同舟云学术

Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos)

Published:2020-01 Issue:1 Volume:91 Page:41-51
ISSN:0016-5107
Container-title:Gastrointestinal Endoscopy
language:en
Short-container-title:Gastrointestinal Endoscopy

Author:

Guo LinJie,Xiao Xiao,Wu ChunCheng,Zeng Xianhui,Zhang Yuhang,Du Jiang,Bai Shuai,Xie Jia,Zhang Zhiwei,Li Yuhong,Wang Xuedan,Cheung Onpan,Sharma Malay,Liu Jingjia,Hu Bing

Funder

Sichuan Science and Technology Department Key R&D

Chengdu Technological Innovation R&D

Publisher

Elsevier BV

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging

Reference17 articles.

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3. Usefulness of non-magnifying narrow-band imaging in screening of early esophageal squamous cell carcinoma: a prospective comparative study using propensity score matching;Nagami;Am J Gastroenterol,2014

4. Significance of background coloration in endoscopic detection of early esophageal squamous cell carcinoma;Minami;Digestion,2014

5. Prospective evaluation of narrow-band imaging endoscopy for screening of esophageal squamous mucosal high-grade neoplasia in experienced and less experienced endoscopists;Ishihara;Dis Esophagus,2010

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