Frequency Domain Approaches for Breast Cancer Diagnosis

Australian Journal of Basic and Applied Sciences, 10(2) Special 2016, Pages: 93-96

4 Pages Posted: 7 Jul 2017

See all articles by B. Kiran Bala

B. Kiran Bala

St. Peter's University

S. Audithan

PRIST University - Department of Computer Science and Engineering

G. Kannan

PRIST University, Department of Computer Science and Engineering, Students

K. Raja

Bharathiar University

Date Written: January 8, 2016

Abstract

Breast cancer continues to be a major public health problem among female in the world. Among the various present screening tools, mammography is considered as one of the best available techniques for breast cancer diagnosis. The most common breast abnormalities that may indicate breast cancer are masses and microcalcifications. The key importance to reduce the incidence of mortality among women due to breast cancer is the diagnosis of breast carcinoma in earlier stage. Among the numerous techniques available for breast diagnosis, frequency domain based approaches achieve reliable outcome. In this paper various frequency domain analysis are discussed for mammogram classification.

Keywords: mammogram classification, frequency domain analysis, mass, microcalcifications, breast cancer

Suggested Citation

Bala, B. Kiran and Audithan, S. and Kannan, G. and Raja, K., Frequency Domain Approaches for Breast Cancer Diagnosis (January 8, 2016). Australian Journal of Basic and Applied Sciences, 10(2) Special 2016, Pages: 93-96. Available at SSRN: https://ssrn.com/abstract=2791841

B. Kiran Bala (Contact Author)

St. Peter's University ( email )

Tonakela Camp Road, Sankar Nagar
Chennai, 600 054
India

S. Audithan

PRIST University - Department of Computer Science and Engineering

Thanjavur, Tamil Nadu 613403
India

G. Kannan

PRIST University, Department of Computer Science and Engineering, Students

Thanjavur
India

K. Raja

Bharathiar University

Coimbatore
India

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