Application of convolutional neural networks for computer-aided detection and diagnosis in gastrointestinal pathology: A simplified exposition for an endoscopist

摘要

The application of artificial intelligence(AI),especially machine learning or deep learning(DL),is advancing at a rapid pace.The need for increased accuracy at endoscopic visualisation of the gastrointestinal(GI)tract is also growing.Convolutional neural networks(CNNs)are one such model of DL,which have been used for endoscopic image analysis,whereby computer-aided detection and diagnosis of GI pathology can be carried out with increased scrupulousness.In this article,we briefly focus on the framework of the utilisation of CNNs in GI endoscopy along with a short review of a few published AI-based articles in the last 4 years.