Automatically optimized radiomics modeling system for small gastric submucosal tumor (&lt;2 cm) discrimination based on EUS images.

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Abstract

The clinical management of small gastric submucosal tumors (SMTs) (<2 cm) faces a non-negligible challenge because of the lack of guideline consensus and effective diagnostic tools. This article develops an automatically optimized radiomics modeling system (AORMS) based on EUS images to diagnose and evaluate SMTs.

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Journal

Journal ID (iso-abbrev): Gastrointest Endosc

Title: Gastrointestinal endoscopy

Publisher: Elsevier BV

ISSN (Electronic): 1097-6779

ISSN (Print): 0016-5107

Publication date (Electronic): Apr 2024

Volume: 99

Issue: 4

Affiliations

[1 ] Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Endoscopic Minimally Invasive Collaborative Innovation Center, Shanghai, China.

[2 ] MingGe Research, Fudan University Science Park, Shanghai, China; Biomedical Engineering Center, School of Information Science and Technology, Fudan University, Shanghai, China.

[3 ] Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Endoscopic Minimally Invasive Collaborative Innovation Center, Shanghai, China; Department of Endoscopy, Zhongshan Hospital Xuhui Branch, Fudan University, Shanghai, China. Electronic address: zhong.yunshi@zs-hospital.sh.cn.

[4 ] Biomedical Engineering Center, School of Information Science and Technology, Fudan University, Shanghai, China. Electronic address: jhyu@fudan.edu.cn.

[5 ] Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Endoscopic Minimally Invasive Collaborative Innovation Center, Shanghai, China. Electronic address: zhou.pinghong@zs-hospital.sh.cn.

Article

Publisher Item ID: S0016-5107(23)03042-0

DOI: 10.1016/j.gie.2023.11.006

PubMed ID: 37956896

SO-VID: c83ff332-737f-4652-a76c-7c43537dba62

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Automatically optimized radiomics modeling system for small gastric submucosal tumor (<2 cm) discrimination based on EUS images.

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