It relates to an endoscope device for diagnosing a lesion using a gastric endoscope image acquired in real time, a body part inserted into the body of a subject, an operation part provided at the rear end of the body part and manipulating the body part based on user input information, a plurality of Construct an artificial neural network system through learning to input the gastric lesion image and output items related to the diagnosis result of the gastric lesion, create a new data set by linking the gastric endoscopic image with patient information, and create the artificial neural network. It may include a lesion diagnosis unit for performing gastric lesion diagnosis through and a display unit for displaying a diagnosis result of the lesion diagnosis unit and a gastric endoscopic image.
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