Intelligent diagnosis of breast cancer using neural networks and genetic algorithms
محل انتشار: یازدهمین کنگره بین المللی سرطان پستان
سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 332
نسخه کامل این مقاله ارائه نشده است و در دسترس نمی باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICBCMED11_064
تاریخ نمایه سازی: 21 اردیبهشت 1397
چکیده مقاله:
Breast cancer is one of the most common causes of mortality among women considered. Early detection increases chances of survival of breast cancer, mammography is important to create a system to detect suspicious masses. The construction of systems to detect this type of cancer, such as in the fields of medical diagnosis systems is considered crucial. In this article and the implementation of two methods to automatically detect the type of mass is benign or malignant tumor in the breast that is presented. In the first method, the auto-thresholding segmentation to support regional growth by cellular neural networks (CNN) trained obtained. In the second proposal, part of cellular neural networks (CNN) parameters with genetic algorithm (GA) is determined.
کلیدواژه ها:
نویسندگان
Maryam Heidari Hratmh
Student, Faculty of Electrical Engineering, Islamic Azad University of opioid,
Seyed Alireza Mirzaee
Lecturer, Faculty of Electrical Engineering, Islamic Azad University of opioid,