Technique of intelligent segmentation of tumors on ultrasound images using the U-Net neural network architecture

The article focuses on developing an intelligent model for segmenting breast tumors in ultrasound images using the U-Net neural network architecture. The research emphasizes the importance of early cancer diagnosis and the role of artificial intelligence in improving healthcare quality. The developed model demonstrated high accuracy due to skip connections that preserve spatial details in the images. Despite its successes, the authors highlight areas for further improvement, such as incorporating attention mechanisms and expanding training datasets. The obtained results have practical significance for automated diagnostics and can be integrated into unified medical information systems, contributing to increased precision and efficiency in detecting cancerous lesions.