Differential Diagnosis of Pancreatic Cancer and Chronic Pancreatitis According to Endoscopic Ultrasonography Based on the Analysis of the Nature of the Contours of Focal Formations Based on Fuzzy Mathematical Models
Korenevskiy N.A. Belozerov V.A. Al-Kasasbeh R.T. Al-Smady M.M. Aikeyeva A.A. Al-Jundi M. Rodionova S.N. Filist S. Alshamasin M.S. Al-Habahbeh O.M. Maksim I.
2023Begell House Inc.
Critical Reviews in Biomedical Engineering
2023#51Issue 359 - 76 pp.
One of the key echographic signs of focal pathology of the pancreas is the presence of formation contours and their nature. Endoscopic ultrasonography has a unique ability to visualize the echographic texture of the pancreatic parenchyma, and also allows you to assess in detail the boundaries and nature of the contours of the tumor formations of the organ due to the proximity of the ultrasound sensor. However, the differential diagnosis of focal pancreatic lesions remains a difficult clinical task due to the similarity of their echosemiotics. One of the ways to objectify and improve the accuracy of ultrasound data is the use of artificial intelligence methods for interpreting images. Improving the quality of differential diagnosis of focal pathology of the pancreas according to endoscopic ultrasonography based on the analysis of the nature of the contours of focal formations using fuzzy mathematical models.
Chronic focal pancreatitis , Differential diagnosis , Fuzzy decision rules , Mathematical model , Nature of the contours of focal lesions , Pancreatic ductal adenocarcinoma , Reference endosonogram
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South-West State University, Kursk, Russian Federation
Endoscopy Department, BMU Kursk Regional Clinical Hospital, Kursk, Russian Federation
Department of Mechatronics Engineering, School of Engineering, The University of Jordan, Amman, Jordan
Jordan University Hospital, Amman, Jordan
Eurasian National University, Nur-Sultan, Kazakhstan
Department of Endocrinology, Eunice Kennedy Shriver National Institute of Child and Human Development, National Institutes of Health, Bethesda, MD, United States
Department of Mechatronics Engineering, Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan
ITMO University Kronverksky, St. Petersburg, Russian Federation
South-West State University
Endoscopy Department
Department of Mechatronics Engineering
Jordan University Hospital
Eurasian National University
Department of Endocrinology
Department of Mechatronics Engineering
ITMO University Kronverksky
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