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