DocumentCode :
2705523
Title :
Identification research of pulmonary nodules based on PCA and the improved BP neural network
Author :
Linan, Fan ; Xiangli, Hu ; Shenshen, Sun ; Wenjuan, Gu
Author_Institution :
Sch. of Inf. Eng., Shenyang Univ., Shenyang, China
fYear :
2012
fDate :
6-8 June 2012
Firstpage :
330
Lastpage :
333
Abstract :
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.
Keywords :
backpropagation; cancer; computerised tomography; image classification; lung; medical image processing; neural nets; object recognition; principal component analysis; BP neural network; CT image; PCA; classification ability; pulmonary nodules detective method; pulmonary nodules identification research; recognition model; Biomedical imaging; Blood vessels; Computed tomography; Educational institutions; Lungs; Neural networks; Principal component analysis; CT image; PCA; pulmonary nodules; the improved BP neural network; vascular;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2012 International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4673-2238-6
Electronic_ISBN :
978-1-4673-2236-2
Type :
conf
DOI :
10.1109/ICInfA.2012.6246828
Filename :
6246828
Link To Document :
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