| Abstrakt: |
Researchers at the University of Engineering and Technology in Taxila, Pakistan have developed an advanced deep-learning approach to detect and classify bone fractures from X-ray images. The study aims to improve detection accuracy and streamline the diagnostic process using computer vision methods. The proposed method achieved a classification accuracy of 98%, outperforming traditional diagnostic methods and other contemporary models. This research provides a promising automated solution for the accurate diagnosis of bone fractures, which is crucial for proper treatment and healing. [Extracted from the article] |
