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An Innovative Journal in the Field of Radiology
e-ISSN 2008-2711
p-ISSN 1735-1065
Outline
Diagnostic Efficacy of All Series of Dynamic Contrast Enhanced Breast MR Images Using Gradient Vector Flow (GVF) Segmentation and Novel Border Feature Extraction for Differentiation Between Malignant and Benign Breast Lesions
Authors
1Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
3Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
*Corresponding Author: Corresponding author: Leila Bahreini, Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran, Tel: +98-2144474321, Fax: +98-2144474319 Email: [email protected]
Published online:Dec 30, 2010
Article type:Research Article
Received:Jul 13, 2010
Accepted:Nov 22, 2010
How to Cite:Bahreini L, Fatemizadeh E, Guity M. Diagnostic Efficacy of All Series of Dynamic Contrast Enhanced Breast MR Images Using Gradient Vector Flow (GVF) Segmentation and Novel Border Feature Extraction for Differentiation Between Malignant and Benign Breast Lesions. I J Radiol. 2010;7(4):e77316. doi:
Copyright
© 2010, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
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