Volume 23, Issue 152 (2-2017)                   RJMS 2017, 23(152): 77-87 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Dehghan N, Hassanpour H, Abbaszadegan M R. Microarray Images Analysis to Detect Breast Cancer. RJMS. 2017; 23 (152) :77-87
URL: http://rjms.iums.ac.ir/article-1-4114-en.html
Shahrood University of Technology, Shahrood, Iran , h.hassanpour@shahroodut.ac.ir
Abstract:   (3813 Views)

Background: Microarray technology is a powerful tool to study and analyze the behavior of thousands of genes simultaneously. Images of microarray have an important role in the detection and treatment of diseases. The aim of this study is to provide an automatic method for the extraction and analysis of microarray images to detect cancerous diseases.

Methods: The proposed system consists of three main phases of image processing, data mining, and detection of disease. The image processing phase is accompanied with some operations such as identifying the location of genes, deleting the background, and extracting the raw data from the images. The second phase includes data normalization and selection of more effective genes. The disease is identified and recognized in the third phase using the extracted data.

Results: In this study it has been used from breast cancer microarray images from Stanford University database. The accuracy of the proposed method to locate genes and diagnosis of breast cancer is up to 98 and 95.45%, respectively.

Conclusion: The obtained results indicate that the proposed method is more accurate than other existing methods in microarray analysis. In addition, the proposed method is easily implemented and less costly compared to the clinical tests.

Full-Text [PDF 2231 kb]   (1320 Downloads)    
Type of Study: Research | Subject: Test video

Add your comments about this article : Your username or Email:

Send email to the article author

© 2021 All Rights Reserved | Razi Journal of Medical Sciences

Designed & Developed by : Yektaweb