Performance and comparison of artificial intelligence and human experts in the detection and classification of colonic polyps

HIGHLIGHTS

SUMMARY

    Colorectal cancer (CRC) is one of the most common malignant tumors in the world and the fourth leading cause of cancer death. Artificial intelligence (AI), a general term for computer programs that simulate human cognitive functions such as learning and problem solving, shows a more stable ability to diagnose micro-adenomatous polyps, including traditional machine_learning (ML) and deep learning (DL). DL is a network model based on the structure of human brain neural system, especially convolution neural_network (CNN). The authors used "Colonoscopy", "Colonic Polyps", "Artificial_Intelligence", "Machine Learning", "Deep Learning", "Neural_Networks", "computer-assisted" as the . . .

     

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