Artificial neural networks in chest radiography: application to the differential diagnosis of interstitial lung disease.

@article{Ashizawa1999ArtificialNN,
  title={Artificial neural networks in chest radiography: application to the differential diagnosis of interstitial lung disease.},
  author={Kazuto Ashizawa and Takayuki Ishida and Heber MacMahon and Carl J. Vyborny and Shigehiko Katsuragawa and Kunio Doi},
  journal={Academic radiology},
  year={1999},
  volume={6 1},
  pages={2-9}
}
RATIONALE AND OBJECTIVES The authors evaluated the usefulness of artificial neural networks (ANNs) in the differential diagnosis of interstitial lung disease. MATERIALS AND METHODS The authors used three-layer, feed-forward ANNs with a back-propagation algorithm. The ANNs were designed to distinguish between 11 interstitial lung diseases on the basis of 10 clinical parameters and 16 radiologic findings extracted by chest radiologists. Thus, the ANNs consisted of 26 input units and 11 output… CONTINUE READING

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