医学
接收机工作特性
诊断准确性
医学诊断
计分系统
多中心研究
前瞻性队列研究
卷积神经网络
人工智能
放射科
外科
内科学
计算机科学
随机对照试验
作者
Xiao-Jian He,Xiao-Ling Wang,Tiankang Su,Lijia Yao,Jing Zheng,Xiao-Dong Wen,Qinwei Xu,Qianrong Huang,Libin Chen,Changxin Chen,Hongbiao Lin,Yiqun Chen,Yanxing Hu,Kaihua Zhang,Chuanshen Jiang,Gang Liu,Dazhou Li,Dongliang Li,Wen Wang
出处
期刊:Endoscopy
[Georg Thieme Verlag KG]
日期:2024-02-27
被引量:1
摘要
Inaccurate Forrest classification may significantly affect clinical outcomes, especially in high risk patients. Therefore, this study aimed to develop a real-time deep convolutional neural network (DCNN) system to assess the Forrest classification of peptic ulcer bleeding (PUB).
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