Qalaai Zanist Scientific Journal
گۆڤارى قەڵاى زانست

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ISSN 2518-6558 (Print)
Qalaai Zanist Scientific Journal  
Volume 2, Issue 2, April 2017

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Paper Title: Computer Aided Diagnosis System for Breast Cancer using ID3 and SVM Based on Slantlet Transform
Author (s): Mohammed Salih Mahdi
Index Terms: Breast cancer, CAD, Slantlet, ID3, SVM
Abstract: Lately, the woman's chest cancer is the 2nd reason of deaths in females. Mam.mog.ram images are medical images, which can be read by physicians to detect breast carcinomas. In this paper, proposed Computer Aided Diagnosis system that can assist the doctors in hospitals to improve the diagnosis of the disease to detect cancer cells. Enhance the undesirable effects the of mam.mog.ram images by using slantlet transformer , set of different stages and classifies as normal, abnormal according to ID3 and SVM. For the same testing set, the practical outcomes displays SVM classifier with an accuracy of 95% and ID3 classifier with an accuracy of 92% based on MIAS database.
Cite This Paper (APA): Salih Mahdi, M. (2017). Computer Aided Diagnosis System for Breast Cancer using ID3 and SVM Based on Slantlet Transform. Qalaai Zanist Scientific Journal, 2(2). doi:10.25212/lfu.qzj.2.2.16
Text Language: English
Pp.: 142 - 148
Full Text:


Researchers and readers of Qalaai zanist are invited to submit their articles with Kurdish, Arabic or English language (to that are consistent with the objective of this journal for publishing in the future issues.


A Scientific Quarterly Refereed Journal, Published by Lebanese French University (LFU) , Erbil - Kurdistan, Iraq
Licensed by Ministry of Higher Education and Scientific Research - Kurdistan Regional Government (Decree 13071/9 in August 29, 2016)
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