Develop a computer vision model capable of accurately detecting bone fractures in X-ray images This project aims to leverage the power of artificial intelligence to streamline the diagnosis of bone fractures. By training a deep learning model on a large dataset of X-ray images, we seek to create a system that can automatically identify fractures with high accuracy. This automated system will help alleviate the burden on medical professionals, particularly in emergency settings, by providing rapid and reliable initial assessments. The model's output will be a valuable tool for radiologists and emergency physicians, aiding in decision-making and accelerating patient care.
marium65/BoneFracture
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