DISEASE DIAGNOSTIC ASSISTANCE METHOD BASED ON DIGESTIVE ORGAN ENDOSCOPIC IMAGES, DIAGNOSTIC ASSISTANCE SYSTEM, DIAGNOSTIC ASSISTANCE PROGRAM, AND COMPUTER-READABLE RECORDING MEDIUM HAVING DIAGNOSTIC ASSISTANCE PROGRAM STORED THEREON

摘要

A diagnostic assistance method for a disease based on an endoscopic image of a digestive organ with use of a convolutional neural network (CNN) according to one embodiment of the present invention trains the CNN using a first endoscopic image of the digestive organ and at least one final diagnosis result of the positivity or the negativity for the disease in the digestive organ, or information corresponding to a severity level, the final diagnosis result being corresponding to the first endoscopic image, and the trained CNN outputs at least one of a probability of the positivity and/or the negativity for the disease in the digestive organ, a severity level of the disease, or a probability corresponding to the invasion depth (infiltration depth) of the disease, based on a second endoscopic image of the digestive organ. According to this embodiment, it is possible to acquire the probability of the positivity and/or the negativity for the disease in the digestive organ, the severity level of the disease, and the invasion depth of the disease, of the subject, at an accuracy substantially comparable to that of an endoscopy specialist within a short time period, and it becomes possible to select a subject requiring a separate confirmation diagnosis within a short time period.