Abstract:

The Bone Fracture Detection System is designed to improve the speed and accuracy of fracture diagnosis by incorporating advanced deep learning algorithms into a user-friendly platform. Patients can upload their X-ray images and select a doctor for review. The YOLO deep learning algorithm is used to detect fractures in the images, applying bounding boxes to highlight the type and severity of the fracture with high precision. The detection results are securely stored in the system's database, ensuring that both patients and healthcare providers can easily access the information. This system minimizes the reliance on manual review, facilitating quicker diagnoses and supporting better treatment planning, especially for patients in remote or underserved areas. By automating the detection process, the system enhances healthcare outcomes, reducing diagnostic errors and improving overall efficiency.

Description:

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