Bilateral Symmetry-Based Abnormality Detection in Breast Thermograms Using Textural Features of Hot Regions
With an increase in the number of breast cancer cases worldwide, there is an urgent need to develop techniques for early abnormality detection. Thermography is known for its potential to detect breast abnormalities at an early stage. A novel threshold-based non-machine learning asymmetry analysis us...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Open Journal of Instrumentation and Measurement |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10210667/ |