胸部単純写真における間質性肺疾患の鑑別診断 : ニューラルネットワークを用いたディシジョン・サポート・システム

概要

論文の詳細を見る
We applied an artificial neural network to the differential diagnosis of interstitial lung disease on chest radiographs. Our neural network consisted of 26 input units, including 16 radiological findings and 10 clinical parameters, and 11 output units corresponding to the 11 types of interstitial lung disease. Our results indicate that the neural network has a high level of performance for the differential diagnosis of interstitial lung disease and can significantly improve the diagnostic accuracy of observers. In conclusion, the decision support system using the neural network can assist observers in the differential diagnosis of interstitial lung disease on chest radiographs, when the output of the neural network is used as a "second opinion."
社団法人日本放射線技術学会の論文
2000-03-20