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% $95.5\%$ (CI 88.8 % -- 99.2 % $88.8\%\text--99.2\%$ ), respectively, using the LOSO cross-validationapproach. The results demonstrated in this paper show the promise that integrating the functional features with morphology as well as texture features by using the current state-of-the-art machine learning approaches will be extremely useful for identifying thyroid nodules as well as diagnosing theirmalignancy. The results demonstrated in this paper show the promise that integrating the functional features with morphology as well as text
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