Bilateral Symmetry-Based Abnormality Detection in Breast Thermograms Using Textural Features of Hot Regions
Author:
Affiliation:
1. Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9552935/10025401/10210667.pdf?arnumber=10210667
Reference41 articles.
1. Texture analysis of breast thermogram for differentiation of malignant and benign breast
2. Exploration of the relationship between the fractal dimension of microcalcification clusters and the hurst exponent of background tissue disruption in mammograms;abay,2010
3. Breast cancer detection using MRF-based probable texture feature and decision-level fusion-based classification using HMM on thermography images
4. Hurst exponent estimation of fractional surfaces for mammogram images analysis
5. Analysis of Breast Thermograms Using Asymmetry in Infra-Mammary Curves
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3. Measurement Methodology: Breast Abnormality Detection using Thermography: An Engineer's Perspective;IEEE Instrumentation & Measurement Magazine;2024-06
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