Feed-Forward Artificial Neural Networks (FF-ANN) can be used as classifier when suitably trained. In this paper we trained a FF-ANN to classify images of the lung, in order to develop a system for the automated image-based diagnosis of the bronchial stenosys. After a pre-processing filler we have used an FF-ANN, trained using two backpropagation methods,with momentum and the weight decay, to perform a classification into four classes of disease. The results are very close to the human classification.
Delogu, P. (1997). Neural networks for automatic diagnosis of labeled monodispersed aerosols in obstructive lung disease. PHYSICA MEDICA, 13(Supplemento 1), 234-236.
Neural networks for automatic diagnosis of labeled monodispersed aerosols in obstructive lung disease
Delogu, P.
1997-01-01
Abstract
Feed-Forward Artificial Neural Networks (FF-ANN) can be used as classifier when suitably trained. In this paper we trained a FF-ANN to classify images of the lung, in order to develop a system for the automated image-based diagnosis of the bronchial stenosys. After a pre-processing filler we have used an FF-ANN, trained using two backpropagation methods,with momentum and the weight decay, to perform a classification into four classes of disease. The results are very close to the human classification.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/1006324
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