FIELD: medicine.
SUBSTANCE: invention relates to medicine, namely gastroenterology, and can be used for differential diagnosis of Crohn’s disease or ulcerative colitis. An endoscopic image of the patient’s colon is obtained. The image is filtered using a non-local mean filter, contrast is improved by adaptive contrast-limited histogram equalization. The processed image is sequentially analyzed using two convolutional neural networks. With the help of the first neural network, the presence or absence of inflammatory intestinal disease is determined. Then, if there is a disease, Crohn’s disease or ulcerative colitis is diagnosed using a second neural network.
EFFECT: method provides the possibility of effective differential diagnosis of Crohn’s disease and ulcerative colitis by analyzing pre-processed endoscopic images.
1 cl, 5 dwg, 5 tbl., 5 ex
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