Efficient Breast Cancer Classification Using Tumor Area and Boundaries Calculation | ||||
| النشرة المعلوماتية في الحاسبات والمعلومات | ||||
| Article 1, Volume 1, Issue 2 - Serial Number 20190102, July 2019, Page 1-5 PDF (478.44 K) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/fcihib.2019.107516 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Taha Mahdy Mohamed; Belal A. Elmonem; Sherif Kholeif | ||||
| Abstract | ||||
| Many of the women across the world suffer from breast cancer. Since the causes of this disease remain unknown, early detection and diagnosis are essential to control the breast cancer, increase the success of the treatment, save live, and reduce costs. Unfortunately, the methods proposed in the literature are suffering from low detection rates. In this paper, we proposed two new methods called C-Comp and CRoI. Both methods efficiently detect benign and malignant breast cancer tumors using shape circularity. The experimental results show that, the proposed C-Comp method achieved a detection rate of 12.3% higher than other previous work. However, the proposed CRoI method achieved a detection rate of 5.6 % higher than other previous work. | ||||
| Keywords | ||||
| Breast cancer; Tumor Circularity; Tumor Classification; and Tumor Detection | ||||
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