Breast Thermograms Asymmetry Analysis using Gabor filters

نویسندگان

چکیده

Women are far more likely than males to acquire breast cancer, and current research indicates that this is entirely avoidable. It also blame for higher death rates among younger women compared older in nearly all developing nations. Medical imaging modalities continuously need of development. A variety medical techniques have been employed detect cancer women. The most recent studies support mammography screening, although its sensitivity specificity remain suboptimal, particularly individuals with thick tissue, such as young As a result, alternative modalities, thermography, required. Digital Infrared Thermal Imaging (DITI), it known, detects records temperature changes on the skin’s surface. Thermography well-known non-invasive, painless, cost-effective, high recovery rates, well potential identify at an early stage. Gabor filters used extract textural characteristics left right breasts. Using vector machine, thermograms then classified normal or malignant based asymmetry between breasts (SVM). accuracy achieved by combining features SVM classifier around 84.5 percent. diagnosis thermography enhances patient’s chances survival significantly since may disease stages.

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ژورنال

عنوان ژورنال: E3S web of conferences

سال: 2021

ISSN: ['2555-0403', '2267-1242']

DOI: https://doi.org/10.1051/e3sconf/202130901109