Study and evaluation of feature vector optimization and classic methods in automatic breast cancer detection
عنوان مقاله: Study and evaluation of feature vector optimization and classic methods in automatic breast cancer detection
شناسه ملی مقاله: JR_IJNAA-15-1_004
منتشر شده در در سال 1403
شناسه ملی مقاله: JR_IJNAA-15-1_004
منتشر شده در در سال 1403
مشخصات نویسندگان مقاله:
Roozbeh Rahmani - Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
Shahin Akbarpour - Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
Ali Farzan - Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
خلاصه مقاله:
کلمات کلیدی:
Roozbeh Rahmani - Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
Shahin Akbarpour - Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
Ali Farzan - Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
Breast cancer detection, feature extraction, Classification, Mammographic images
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1901259/