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Generative and Discriminative Learning for Lung X-Ray Analysis Based on Probabilistic Component Analysis.

Khalaf A AlshamraniHassan A AlshamraniF F AlqahtaniAli H AlshehriSaleh Hudayban Althaiban
Published in: Journal of multidisciplinary healthcare (2023)
The method is found to achieve superior accuracy, offering a viable solution to the class of problems presented. Accuracy rates achieved by the kernels in the NN and SVM models were 95.02% and 92.45%, respectively, suggesting the method's competitiveness with state-of-the-art approaches.
Keyphrases
  • mental health
  • high resolution
  • magnetic resonance imaging
  • computed tomography