Colorectal cancer is the third most common cancer in the world,and a good endoscopic screening programme is expected to reduce the morbidity and mortality of colorectal cancer.With the continuous improvement of computer technology and the advent of the big data era,research related to artificial intelligence technology-assisted endoscopic disease diagnosis has flourished.Lesion detection,lesion characterization and computed aid quality improvement in colonoscopy are the main clinical applications of artificial intelligence in gastroenterology,and more evidences have been published so far.This paper introduced commonly used deep learning model architectures,summarized the available clinical evidence for the application of artificial intelligence in colorectal lesion detection and discussed and discussed future directions.
关键词
人工智能/结肠镜检查/腺瘤检出率/计算机辅助息肉检测/计算机辅助息肉诊断/深度学习模型
Key words
artificial intelligence/colonoscopy/adenoma detection rate/computer-aided polyp detection/computer-aided polyp diagnosis/deep learning model
维普
万方数据