Device and method for diagnosing gastric lesion through deep learning of gastroendoscopic images

A device for diagnosing a gastric lesion from endoscopic images, the device comprising:

• an image acquisition part for acquiring a plurality of gastric lesion images;
• a data generation part for generating a dataset by linking the plurality of gastric lesion images with patient information;
• a data preprocessing part for preprocessing the dataset in a way that is applicable to a deep learning algorithm;
• and
• a training part for building an artificial neural network by training the artificial neural network by using the preprocessed dataset as input and gastric lesion classification results as output.