Logo

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.

[img] PDF
Restricted to Registered users only

157Kb

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
ID Code:939
Deposited By: Dr Samir Brahim Belhaouari
Deposited On:07 Apr 2010 04:43
Last Modified:19 Jan 2017 08:24

Repository Staff Only: item control page

Document Downloads

More statistics for this item...