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Machine Learning for Bone Fracture Detection by akshay dhole is a document available to read on EtoBox.

What is Machine Learning for Bone Fracture Detection about?

The document discusses a machine learning-based system for detecting bone fractures using X-ray images, highlighting the importance of accurate diagnosis for effective treatment. Various machine learning algorithms, including Naïve Bayes, Decision Tree, and SVM, were evaluated on a dataset of 270 X-ray images, with SVM achieving the highest accuracy of 0.92. The study emphasizes the need for preprocessing, edge detection, and feature extraction to improve the reliability of fracture detection.

Author

akshay dhole

Language

EN