Diagnosis and segmentation effect of the ME-NBI-based deep learning model on gastric neoplasms in patients with suspected superficial lesions - a multicenter study

Diagnosis and segmentation effect of the ME-NBI-based deep learning model on gastric neoplasms in patients with suspected superficial lesions - a multicenter study

BackgroundEndoscopically visible gastric neoplastic lesions (GNLs), including early gastric cancer and intraepithelial neoplasia, should be accurately diagnosed and promptly treated. However, a high rate of missed diagnosis of GNLs contributes to the potential risk of the progression of gastric canc...

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Bibliographic Details
Main Authors: Leheng Liu, Zhixia Dong, Jinnian Cheng, Xiongzhu Bu, Kaili Qiu, Chuan Yang, Jing Wang, Wenlu Niu, Xiaowan Wu, Jingxian Xu, Tiancheng Mao, Lungen Lu, Xinjian Wan, Hui Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Oncology
Subjects:
deep learning
suspected superficial lesions
magnifying endoscopy with narrow band imaging (ME-NBI)
gastric neoplastic lesions
convolutional neural network (CNN)
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1075578/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.1075578/full

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