Abstract: Early and accurate detection of bone fractures is essential for improving clinical outcomes and reducing diagnostic workload in radiology. This study proposes a Diffusion-Enhanced ...
Abstract: The creation and use of a hybrid machine learning model integrating convolutional neural networks (CNN) and Random Forest classifiers to raise the accuracy of bone fracture prediction from X ...
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