A Survey on Computer- Aided Breast Cancer Detection Using Mammograms

Main Article Content

Riya Patankar
Dr. (Mrs.) Neeta A Deshpande

Abstract

Breast cancer which mostly occurs in female is the second most common cancer in the world. The cause of the disease mostly remains unknown and therefore early detection and diagnosis is the only optimal solution to prevent tumor increase and allow a successful medical treatment, it also helps save lives at reduced cost. Cancer is a diseases driven by change in cells of the body and when they increase beyond normal growth and control.Mammography is the widely used technique for breast cancer detection is an x-ray of the breasts performed in the absence of symptoms. It can even detect very small sized tumors, even before they are tangible to symptoms. As a part of a screening program, mammography is currently the highly recommended method for early detection of breast cancer in women of age between 50 to 70 years. It can detect efficiently the very small tumors that generally have not yet formed metastases, and hence increase the chances of survival and recovery in women health. This screening method has been shown to be effective in reducing breast cancer mortality rates and have reduced mortality rates by 30–70%. Mammograms are difficult to interpret in the screening context. The sensitivity of mammography technique is affected by image quality and the radiologist’s level of expertise. Computer-aided diagnosis (CAD) process can improve the performance of radiologists to a high extent, by increasing the sensitivity to rates comparable to those obtained by double reading which makes process time consuming, in a cost-effective manner. This paper gives an overview of digital image processing along with pattern analysis techniques to address several areas in detection system of breast cancer, including the four stages of CAD system which are image preprocessing, image segmentation, features extraction and selection and image classification.


 


Keywords: Breast cancer, computer-aided diagnosis (CAD), mammography, classification, feature extraction, segmentation, ANN, GLCM

Article Details

How to Cite
Patankar, R., & Deshpande, D. (Mrs.) N. (2019). A Survey on Computer- Aided Breast Cancer Detection Using Mammograms. National Journal of Computer and Applied Science, 2(1), 1-6. Retrieved from http://www.njcas.co.in/index.php/njcas/article/view/17
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Articles

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