Apparatus and method for detecting intussusception on abdominal radiographs of young children based on deep learning

摘要

The apparatus for detecting intussusception on an abdominal radiographic image of the present invention learns an artificial neural network consisting of a plurality of layers having a plurality of operations to which weights are applied to specify a diagnosis area of intussusception on a radiographic image, It includes a model learning unit for generating an artificial neural network that outputs a probability of existence as an output value, and a diagnosis unit for diagnosing the intussusception from a radiographic image using the artificial neural network.