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Accuracy of convolutional neural network-based artificial intelligence in diagnosis of gastrointestinal lesions based on endoscopic images: A systematic review and meta-analysis

机译:基于内窥镜图像的胃肠病变诊断中卷积神经网络的准确性:系统评价与荟萃分析

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摘要

Background and study aims Recently, a growing body of evidence has been amassed on evaluation of artificial intelligence (AI) known as deep learning in computer-aided diagnosis of gastrointestinal lesions by means of convolutional neural networks (CNN). We conducted this meta-analysis to study pooled rates of performance for CNN-based AI in diagnosis of gastrointestinal neoplasia from endoscopic images.
机译:背景和学习目标最近,通过卷积神经网络(CNN),越来越多的证据对人工智能(AI)的评估而被称为胃肠道病变的计算机辅助诊断。我们进行了这种荟萃分析,研究了基于CNN的AI的汇集性能率,以诊断到内窥镜图像的胃肠瘤肿瘤瘤。

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