REAL-TIME ARTIFICIAL INTELLIGENCE (AI) AUTOMATIC DIAGNOSTIC SYSTEM FOR COLORECTAL POLYPS USING RESIDUAL NETWORK (RESNET)

Yoriaki Komeda; Hisashi HANDA; Shuntaro Hatori; Mamoru Takenaka; Hiroshi Kashida; Masatoshi Kudo

doi:10.1055/s-0042-1744698

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REAL-TIME ARTIFICIAL INTELLIGENCE (AI) AUTOMATIC DIAGNOSTIC SYSTEM FOR COLORECTAL POLYPS USING RESIDUAL NETWORK (RESNET)

Article 2022 en

Abstract

1 min read

Aims Convolutional neural networks (CNNs) are widely used for artificial intelligence (AI)-based image classification. Residual network (ResNet) is a new technology that facilitates the accuracy of image classification by CNN-based AI.

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