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Breast cancer diagnosis in digital mammogram using multiscale curvelet transform

Eltoukhy , M.M. and Faye , Ibrahima and Brahim Belhaouari, Samir (2010) Breast cancer diagnosis in digital mammogram using multiscale curvelet transform. Computerized Medical Imaging and Graphics, 34 . pp. 269-276. ISSN 8956111

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Abstract

This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. After decomposing the mammogram images in curvelet basis, a special set of the biggest coefficients is extracted as feature vector. The Euclidean distance is then used to construct a supervised classifier. The experimental results gave a 98.59% classification accuracy rate, which indicate that curvelet transformation is a promising tool for analysis and classification of digital mammograms. © 2009 Elsevier Ltd. All rights reserved.

Item Type:Article
Uncontrolled Keywords:Breast cancer diagnosis; Curvelet transform; Digital mammogram; Feature extraction; Multiresolution
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Fundamental & Applied Sciences
ID Code:2724
Deposited By: Dr Ibrahima Faye
Deposited On:21 Sep 2010 00:38
Last Modified:19 Jan 2017 08:24

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