A hybrid deep learning approach integrating CNN and transformer for lung cancer classification using CT scans
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A hybrid deep learning approach that combines CNN and transformer is being explored for lung cancer classification using CT scans. Other similar hybrid deep learning frameworks have been applied to various medical and non-medical image classification tasks, including plant disease detection, brain tumor detection, and cancer diagnosis. The approach may have potential for improving accuracy in lung cancer detection, although specific outcomes are not clear from the available information.
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