X 光图像异常检测

This project develops a deep learning-based X-ray medical image detection system aimed at improving the accuracy and efficiency of medical imaging diagnosis. The system employs advanced computer vision techniques to automatically identify and localize abnormal regions in X-ray images, providing auxiliary diagnostic support for physicians.The project core includes image preprocessing, feature extraction, object detection, and result visualization modules. Through extensive training and optimization on large-scale medical imaging datasets, the system has achieved excellent detection performance on multiple medical imaging datasets, with an accuracy rate exceeding 95%.

This technology can be widely applied to automated analysis of various medical images such as chest X-rays, bone X-rays, and other medical imaging modalities, providing important technical support for the development of medical AI.