Differentiation and risk stratification for gastrointestinal stromal tumors with endoscopic images using deep learning.

Purpose: Deep learning may be helpful to differentiate gastrointestinal stromal tumors and risk stratification using endoscopic images. Methods: A total of 494 patients with gastrointestinal stromal tumors and 1010 patients with gastric cancer from author's hospital were trained and validated. Anoth...

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Bibliographic Details

Published in:	Health & Technology Vol. 16; no. 5; pp. 845 - 856
Main Authors:	Zheng, Qiao, Guo, Wenhao, Li, Sunjun, Zhang, Long, Sun, Jiayue, Cui, Jiaye, Jin, Xiance, Sun, Zhen
Format:	pictorial research tables/charts Journal Article
Published:	Springer Nature Sep2026
Online Access:	View this record in EBSCOhost