The previous studies and research papers show the accuracy of 93.8% by DenseNet and by normal proposed model achieved an impressive classification accuracy of 97.03%. The results demonstrated accuracy rates of 92% for Normal and 97% for Pneumonia. The models also showed significant improvements in diagnostic accuracy and reduced time for disease detection compared to traditional methods.
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