Performance comparison of artificial neural network and logistic regression model for differentiating lung nodules on CT scans-Reference-Cited by-同舟云学术

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Performance comparison of artificial neural network and logistic regression model for differentiating lung nodules on CT scans

Published:2012-10 Issue:13 Volume:39 Page:11503-11509
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Chen Hui,Zhang Jing,Xu Yan,Chen Budong,Zhang Kuan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference58 articles.

1. American Cancer Society, (2010). Cancer Facts & Figures 2010. Atlanta: American Cancer Society.

2. Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images;Aoyama;Medical Physics,2003

3. Automated lung nodule classification following automated nodule detection on CT: A serial approach;Armato;Medical Physics,2003

4. Pulmonary nodules: Estimation of malignancy at thin-section helical CT: Effect of computer-aided diagnosis on performance of radiologists;Awai;Radiology,2006

5. Informatics in radiology: Comparison of logistic regression and artificial neural network models in breast cancer risk estimation;Ayer;Radiographics,2010

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