Curvelet based feature extraction method for breast cancer diagnosis in digital mammogram

Eltoukhy, M.M. and Faye, I. and Samir, B.B. (2010) Curvelet based feature extraction method for breast cancer diagnosis in digital mammogram. In: UNSPECIFIED.

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Abstract

This paper proposes a method for breast cancer diagnosis in digital mammogram. The article focuses on using texture analysis based on curvelet transform for the classification of tissues. The most discriminative texture features of regions of interest are extracted. Then, a nearest neighbor classifier based on Euclidian distance is constructed. The obtained results calculated using 5-fold cross validation. The approach consists of two steps, detecting the abnormalities and then classifies the abnormalities into benign and malignant tumors.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 18; Conference of 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:84196
Uncontrolled Keywords: Benign and malignant tumors; Breast cancer diagnosis; Cross validation; Curvelet transforms; Curvelets; Digital mammograms; Euclidian distance; Feature extraction methods; Nearest Neighbor classifier; Regions of interest; Texture analysis; Texture features, Diseases; Feature extraction; Textures; X ray screens, Mammography
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:49
Last Modified: 09 Nov 2023 15:49
URI: https://khub.utp.edu.my/scholars/id/eprint/944

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