Recently, the AI (Artificial Intelligence) is popular in the clinical diagnosis based on medical imaging. The major target is to identify or classify the disease condition through the features extracted from the clinical images. Different algorithms (or classifiers) can be applied to classify the disease and the performance might be different for a specific clinical issue. In this work, we tried to investigate the performance of different classifiers in the diagnosis of benign and malignant bone tumors based on MRI diffusion kurtosis imaging.
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