Transformer-enhanced deep ensemble for multi-class liver disease classification using computed tomography images
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A new approach to classifying liver disease using computed tomography images has been developed, utilizing a transformer-enhanced deep ensemble method. This method is designed for multi-class liver disease classification. The approach appears to be a technical innovation in the field of medical imaging and disease diagnosis.
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