DEVELOPMENT OF AN APPLICATION FOR AUTOMATIC DIAGNOSIS OF BREAST TUMORS
Abstract
This article presents the development of a software application for the automatic diagnosis of breast tumors based on machine learning and computer vision methods. The system is designed for the analysis of medical images, detection of pathological changes, and classification of tumors as benign or malignant. The algorithm for preliminary image processing, extraction of informative features, and application of a high-accuracy classification model has been implemented. The proposed solution can be used in clinical practice to assist radiologists, reduce diagnosis time, and improve the accuracy of breast cancer detection.
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