Classification of Breast Tumors Using Sonographic Texture Analysis

Volume: 34, Issue: 2, Pages: 225 - 231
Published: Feb 1, 2015
Abstract
Objectives The purpose of this study was to evaluate a computer‐aided diagnostic system with texture analysis to improve radiologists' accuracy in identification of breast tumors as malignant or benign. Methods The database included 20 benign and 12 malignant tumors. We extracted 300 statistical texture features as descriptors for each selected region of interest in 3 normalization schemes (default, μ − 3σ, and μ + 3σ, where μ and σ were the...
Paper Details
Title
Classification of Breast Tumors Using Sonographic Texture Analysis
Published Date
Feb 1, 2015
Volume
34
Issue
2
Pages
225 - 231
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