Mammographic Image for Breast Cancer Detection using CAD
Vaishali D.Shinde1, B. Thirumala Rao2
1Ms. Vaishali D.Shinde, Research Scholar, Department of Computer Science and Engineering, KL University, Vijayawada (Andhra Pradesh), India.
2Dr. B. Thirumala Rao, Professor, Department of Computer Science and Engineering, KL University, Vijayawada (Andhra Pradesh), India.
Manuscript received on 20 February 2019 | Revised Manuscript received on 11 March 2019 | Manuscript Published on 08 June 2019 | PP: 829-834 | Volume-7 Issue-5S4, February 2019 | Retrieval Number: E11680275S419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Breast cancer is major health challenge all over the world and its occurrence has increased rapidly in recent years. Only early diagnosis is most compelling way to handle breast cancer patients for treatment at right time. In innovative biomedical science several new approaches evolved for the timely detection of breast cancer. CAD systems can play crucial task in the early detection and diagnosis of breast cancer and can reduce the mortality in women suffering from breast cancer. Generally, a CAD system includes four stages: preprocessing, segmentation, feature extraction and classification. The present review will focus on most advance algorithms for preprocessing and segmentation.
Keywords: Computer Aided Diagnosis (CAD), Mammograms, Masses, Thresholding, Segmentation.
Scope of the Article: Image Security