Application of deep learning technology in the diagnosis of gastrointestinal stromal tumors

VernacularTitle:深度学习技术在胃肠道间质瘤诊断中的应用
Author: Tingting CHEN ¹ ; Fan YANG ; Zeyang LI ; Shixue XU ; Fei YANG ; Xiang LIU
Author Information

1. 中国医科大学附属盛京医院消化内科,沈阳 110004
Keywords: deep learning technology; gastrointestinal stromal tumor; diagnosis
From: Journal of China Medical University 2024;53(2):178-181
CountryChina
Language:Chinese
Abstract: Gastrointestinal stromal tumor(GIST),with a certain malignant potential,are currently the most common subepithelial tumors of the gastrointestinal tract.Early diagnosis and prediction of malignant potential are very important for the formulation of a treatment plan and determining the prognosis of GIST.Deep learning technology has made significant progress in the diagnosis of digestive tract diseases,and it can also effectively assist physicians in diagnosing GIST and predicting their malignant potential,preoperatively.The application of deep learning technology in the diagnosis of GIST includes CT,gastrointestinal endoscopy and endoscopic ultrasound.This paper aims to review the application of deep learning technology in the diagnosis and prediction of malignant potential of GIST.