Indian Journal of Science and Technology
Year: 2019, Volume: 12, Issue: 34, Pages: 1-6
Abed S. Alsahli1*, Belal A. Elmonem2, Taha M. Mohamed2,3 and Sherif Kholeif2,3
1Faculty of Business, University of Jeddah, KSA, Saudi Arabia; [email protected]
2Faculty of Computers and Information, Helwan University, Egypt, Saudi Arabia;
[email protected], [email protected]
3 Faculty of Business, University of Jeddah, KSA, Saudi Arabia, [email protected]
*Author for correspondence
Abed S. Alsahli
Faculty of Business, University of Jeddah, KSA, Saudi Arabia; [email protected]
Background/Objectives: This study aims to automate breast cancer detection to either benign or malignant. This process helps physicians for early detection of the tumor. Methods Analysis: We propose a novel method for breast cancer detection called CARA. The proposed method is based on Circular ROI (Region of interest) of the tumor. The circularity of the tumor determines the tumor type either benign or malignant. Findings: The proposed CARA method achieves high accuracy rates compared to other previous work. CARA exceeds other previous work by more than 20% in accuracy. Moreover, CARA outperforms other previous work in all performed trials. Additionally, the proposed CARA method outperforms other previous work with respect to execution time. Improvements/Applications: Automatic classification of breast cancer to either benign or malignant in order to help physicians for early detection of the tumor.
Keywords: Breast Cancer Detection, Circularity, Tumor Area and Tumor Shape
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