Paper Title:
Application of Gray-Scale Texture Feature in the Diagnosis of Pulmonary Nodules
  Abstract

In this paper, we have proposed a new way to detect lung nodules with image texture features. 104 cases of lung nodules, including 31 benign cases and 73 malignant cases, are collected, and the gray-scale correlation and texture heterogeneity are computed through CT imagings for all patients. We find that the gray correlation parameters are different between benign and malignant nodules. The heterogeneity parameters in malignant nodules are higher than that in benign noduals. The gray-scale texture correlation and heterogeneity parameters have diagnostic value in differentiating benign and malignant lung nodules. This study is an exploring study, which still needs further research.

  Info
Periodical
Edited by
Robert Zhu
Pages
34-37
DOI
10.4028/www.scientific.net/AMM.140.34
Citation
C. Z. Shi, Q. Zhao, L. P. Luo, "Application of Gray-Scale Texture Feature in the Diagnosis of Pulmonary Nodules", Applied Mechanics and Materials, Vol. 140, pp. 34-37, 2012
Online since
November 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Subarna Chatterjee, Rezaul Karim, Arindam Biswas, Ajoy Kumar Ray
Chapter 7: Machining
Abstract:Breast cancer, the most common cancer in women, is one of the major causes for the increase in mortality among women especially in developed...
830
Authors: Fuli Ye, Gui Lian Shi
Chapter 11: Image Processing Technology
Abstract:This thesis tries to calculate quantity and distribution of heat source in vivo from body surface temperature. A superposition temperature...
2454
Authors: Yu Zhao, Sheng Dong Nie, Jie Wu, Yuan Jun Wang
Chapter 3: Applied Sciences and Engineering Researches
Abstract:It is common sense that CAD has great significance in the lung nodule detection. But it is still controversial whether the CAD can also...
3830