Application of Multi-Modal Imaging Mediated by Iron Carbon Nanoparticles Based on Reinforcement Learning in the Diagnosis of Breast Nodules

Abstract

Breast cancer has become the first malignant tumor in women. Early detection and early treatment are the key to improve the prognosis of breast cancer patients. The key to the screening and diagnosis of breast cancer lies in the qualitative differential diagnosis of breast nodules. With the rapid development of MRI technology, especially the application of high field strength and ultra-high field strength, the role of breast MRI is increasingly prominent. MRI has the advantages of safety, no ionizing radiation, high resolution of soft tissue, high sensitivity and specificity for the diagnosis of early breast cancer. Multimodal imaging based on reinforcement learning and iron carbon nanoparticles plays an important role in the diagnosis of breast nodules. This paper first discusses the application of iron carbon nanoparticles and breast MRI multimodal imaging technology in tumor treatment, and then studies the application of iron carbon nanoparticles mediated multimodal imaging in the diagnosis of breast nodules through experimental methods. The experimental results show that multimodal imaging has a good effect in the diagnosis of breast nodules, which is helpful for the prevention and treatment of breast nodules.