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1742. The accuracy of the training set was 0.9428, and the Categorical crossentropy was 0.1545. When the optimal model was applied to the test set, the accuracy was 0.9447, and the Categorical crossentropy was 0.1929. The transfer learning-based CNN model has good classification performance in the diagnosis of APTB, CAP and normal patients using CRs. The transfer learning-based CNN model has good classification performance in the diagnosis of APTB, CAP and normal patients using CRs.The biogenesis of mitochondria requires the coordinat