Articles
| Open Access |
https://doi.org/10.55640/
THE APPLICATION OF MACHINE LEARNING TECHNOLOGIES IN THE ANALYSIS OF ENDOSCOPIC IMAGES
Sanjarbek Anvarovich , Assistant, Department of Biomedical Engineering, Biophysics and Information Technologies, Fergana Medical Institute of Public Health, Fergana, Uzbekistan Nasibaliyeva Aziza Azamat kizi , Fergana Public Health Medical Institute, Faculty of Pediatrics, 1st year studentAbstract
This article highlights the role and importance of machine learning technologies in the analysis of endoscopic images. It analyzes the possibilities of early detection of various diseases of the gastrointestinal tract with the help of artificial intelligence systems, automatic segmentation, and classification of pathological changes. The article also provides information on the advantages of machine learning, existing problems, and areas of practical application.
Keywords
endoscopy, machine learning, deep learning, medical images, artificial intelligence, diagnostics.
References
Атаханов, С. А., & Рахматжонова, М. (2025). РАЗВИТИЕ МЕДИЦИНСКИХ КОМПЕНТЕНЦИЙ СТУДЕНТОВ ПОСРЕДСТВОМ ИСПОЛЬЗОВАНИЯ ТЕХНОЛОГИЙ БИОЛОГИЧЕСКОГО МОДЕЛИРОВАНИЯ В МЕДИЦИНСКОМ ОБРАЗОВАНИИ. Tadqiqotlar, 60(1), 3-7.
Anvarovich, A. S. (2025). SUN’IY INTELLEKT YORDAMIDA YURAK-QON TOMIR KASALLIKLARINI ERTA TASHXISLASH. IMRAS, 8(11), 96-99.
Anvarovich, A. S. (2025). INTERNETGA QARAMLIK OQIBATIDA NEVROLOGIK TIZIMDA ANOMALIYALARNING PAYDO BO’LISHI. MODERN SCIENCE, 2181, 3906.
Anvarovich, A. S., & Omonjon o‘g‘li, M. H. (2025). THE ROLE OF MODERN COMPUTER TECHNOLOGIES IN THE DIAGNOSIS AND TREATMENT OF GASTRITIS. EduVision: Journal of Innovations in Pedagogy and Educational Advancements, 1(4), 766-770.
Article Statistics
Downloads
Copyright License
This work is licensed under a Creative Commons Attribution 4.0 International License.