Analysis of the role of breast dynamic nuclear magnetic resonance imaging in the treatment of breast tumors

The diagnosis of breast tumors will be affected by many factors, which will directly lead to deviations in the diagnosis results. In order to improve the diagnosis of breast tumors and improve the cure rate, this study based on mammography dynamic nuclear magnetic resonance imaging technology, proposed an image processing and image segmentation technology suitable for breast tumor structure to achieve effective segmentation of breast tumor sequence image segmentation. In addition, this paper uses genetic algorithm to select all features and obtain the best classification subset. Finally, this paper designs experiments to analyze the effectiveness of the proposed algorithm. Studies have shown that the image data of this study contains relevant information that can predict the efficacy of neoadjuvant chemotherapy for breast cancer and has excellent effects on the diagnosis of breast tumors and can provide a theoretical reference for subsequent related research.