SYSTEM FOR DETECTING LESION FROM CAPSULE-ENDOSCOPIC IMAGE USING ARTIFICIAL NEURAL NETWORK AND METHOD THEREOF

摘要

Provided is a system for detecting a lesion from a capsule-endoscopic image using an artificial neural network, to provide basic information for enabling a diagnostician to efficiently make a final diagnosis. According to the present invention, the system comprises: a capsule endoscopy capturing a plurality of images of human organs and acquiring a circular image inside the body; a preprocessing unit correcting the circular image captured by the capsule endoscopy; a convolutional neural network unit extracting features from each of the plurality of preprocessed images; a recurrent neural network extracting a time-series pattern feature of the plurality of extracted features; a lesion section detection unit comparing the value of the time-series pattern feature with a threshold; a display unit displaying an image corresponding to the value of the time-series pattern feature, which exceeds the threshold, among the plurality of captured images; and a storage unit storing the plurality of images, the plurality of extracted features, and a time-series pattern extracted from the plurality of features.;COPYRIGHT KIPO 2020