肺部CT图像特征的设备无关性研究

doi:10.3969/j.issn.1001-2400.2016.01.028

J4 ›› 2016, Vol. 43 ›› Issue (1): 157-161+179.doi: 10.3969/j.issn.1001-2400.2016.01.028

• Original Articles • Previous Articles Next Articles

Study of sensor interoperability of features on lung CT images

LI Haixia1,2;ZHANG Qing3;WANG Qing4;YIN Yilong3,5;HAO Fanchang1,2

(1. Evidence Forensic Lab. in Colleges and Univ. of Shandong Province, Shandong Univ. of Political Science and Law, Jinan 250014, China;
2. School of Information, Shandong Univ. of Political Science and Law, Jinan 250014, China;
3. School of Computer Science and Technology, Shandong Univ., Jinan 250101, China;
4. Radiology department of Qilu hospital of Shandong Univ., Jinan 250012;
5. School of Computer Science and Technology, Shandong Univ. of Finance and Economics, Jinan 250014, China)

Received:2014-10-10 Online:2016-02-20 Published:2016-04-06
Contact: LI Haixia E-mail:lihaixiajinan@gmail.com

Abstract

Abstract:

Selecting features with high sensor interoperability is of great importance but it is not been investigated enough. Based on the application of classifying lung diseases on CT (Computed Tomography) images, the sensor interoperability of 4 features is studied. An evaluation criterion is proposed to select features by considering interoperability and discrimination ability of features. After doing experiments on 3 different datasets, it is shown that sensor interoperability affects the disease recognition or information retrieval methods. Moreover, the rationality and effectiveness of the proposed feature evaluation criterion is verified.

Key words: sensor interoperability, feature election, computed tomography, lung disease

LI Haixia;ZHANG Qing;WANG Qing;YIN Yilong;HAO Fanchang. Study of sensor interoperability of features on lung CT images[J].J4, 2016, 43(1): 157-161+179.

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Study of sensor interoperability of features on lung CT images

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