Breast Cancer Diagnosis Based on Texture Feature Extraction Using Curvelet Transform

Brahim Belhaouari, samir and Ibrahima , faye and mohamed, eltoukhy (2010) Breast Cancer Diagnosis Based on Texture Feature Extraction Using Curvelet Transform. In: ICIAS 2010.

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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 and then, a classifier is built. The approach
consists of three steps, detecting the abnormality, classify this
abnormality into one of the abnormality types and lastly
distinguish between benign and malignant tumors.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Departments > Fundamental & Applied Sciences
Depositing User: Dr Samir Brahim Belhaouari
Date Deposited: 07 Apr 2010 04:43
Last Modified: 19 Jan 2017 08:24
URI: http://scholars.utp.edu.my/id/eprint/939

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