نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه مهندسی کامپیوتر ، واحد گرگان ، دانشگاه آزاد اسلامی ، گرگان ، ایران
2 دانشکده فنی مهندسی دانشگاه آزاد اسلامی واحد گرگان ،گرگان ، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Todays, medical intelligence detection systems thanks to artificial intelligence have been changed and also faced with some challenges. Breast cancer diagnosis and classification is one of these medical intelligence system. There are a variety of screening techniques available to detect breast cancer such as mammography, magnetic resonance imaging and ultrasound. This research used MIAS mammography image dataset and try to diagnose and classify benign, malignant masses based on image processing and machine learning techniques. at first, apply pre-processing for noise reduction and image enhancement based on Quantum Inverse MFT, and then image segmentation with Social Spider Algorithm.The type of mass is then diagnosed by the deep neural network(CNN). Obtained results presented that proposed approach have better performance in comparison to others based on some evaluation criteria such as accuracy with 99.57%, sensitivity
کلیدواژهها [English]
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