Secondary Screening Algorithm for Breast Cancer Detection Using Matlab

Authors

  • Umar Alqasemi, Jawad Fikri, Fadi Tarmeen

Keywords:

Breast Cancer, Computer Aided Detection, CAD, Support Vector Machine, SVM, Gray-level Co-occurance Matrix, GLCM, k-nearest Neighbor, KNN.

Abstract

Physicians and radiologists utilize computer-aided detection (CAD) systems to detect breast cancer. In this study, through the use of CAD we are going to detect abnormal tumors in X-Ray images using statistical and histogram-based features along with 9 different SVM and KNN classifiers. DDSM from the University of South Florida is the source of the digital X-Ray images. The specificity, sensitivity, and accuracy is compared with previous similar studies.

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References

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http://www.eng.usf.edu/cvprg/mammography/database.html

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Published

09.07.2024

How to Cite

Umar Alqasemi. (2024). Secondary Screening Algorithm for Breast Cancer Detection Using Matlab. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 455–458. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6484

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Section

Research Article