Uncertainty Assisted Robust Tuberculosis Identification With Bayesian Convolutional Neural Networks.

IEEE Access · 2020 · PMC7176037 · PMID 32391238

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highly significantno p-value reported

The results have demonstrated that the proposed methodology achieved highly significant results in terms of TB identification accuracy, i.e., 96.42% and 86.46% for both datasets (i.e., Montgomery and Shenzhen) in comparison with the state-of-the-art DL approaches in the literature.

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