Early Screening Prediction System of Breast Cancer MRI Images Based on Deep Learning

With the increasing incidence rate of breast cancer in China, how to effectively improve the accuracy and sensitivity of breast cancer diagnosis has become an important issue facing the Chinese medical industry. In recent years, the application of computer deep learning technology in medical images has become increasingly widespread. It can automatically extract features from images and classify and predict them. At present, deep learning has made significant breakthroughs in the field of medical image analysis. Deep learning algorithms can automatically discover disease features in massive image data, and their performance has also been significantly improved. The purpose of this study was to study and analyze breast cancer MRI (Magnetic Resonance Imaging) images by using deep learning algorithm, hoping to provide help for early diagnosis of breast cancer. The results showed that the accuracy of the early screening prediction system for breast cancer MRI images based on deep learning reached 95.6%, which laid the foundation for the early diagnosis and treatment of breast cancer.