Identification research of pulmonary nodules based on PCA and the improved BP neural network

We propose a detective method of pulmonary nodules which is applied to CT image based on PCA and the improved BP neural network. Characteristics of nodules and vascular which are processed by PCA have been obtained, classified by applying the improved BP neural network, selected by competition, reco...

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Hauptverfasser: Fan Linan, Hu Xiangli, Sun Shenshen, Gu Wenjuan
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Hu Xiangli
Sun Shenshen
Gu Wenjuan
description We propose a detective method of pulmonary nodules which is applied to CT image based on PCA and the improved BP neural network. Characteristics of nodules and vascular which are processed by PCA have been obtained, classified by applying the improved BP neural network, selected by competition, recognized by results. Experiment results show that implementation of the recognition model is simple, recognition rate is high, speed of training and recognition is fast, and the trained network has very good classification ability.
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subjects Biomedical imaging
Blood vessels
Computed tomography
CT image
Educational institutions
Lungs
Neural networks
PCA
Principal component analysis
pulmonary nodules
the improved BP neural network
vascular
title Identification research of pulmonary nodules based on PCA and the improved BP neural network
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