Survey on – Premature detection breast cancer using CAD (computer aided diagnosis)

Authors

  • Usha M RNSIT, Bangalore, India
  • Madhura Gangaiah RNSIT, Bangalore, India

Keywords:

Mammogram, Breast Cancer, Microcalcifications, Mass lesion, Digital mammography, Feature extraction, Segmentation

Abstract

Breast cancer is the second most common cancer in the world and more prevalent in the female population. Since the cause of the disease remains unknown, early detection and diagnosis is the optimal solution to prevent tumor progression and allow a successful medical intervention, save lives and reduce cost. Mammography is an x-ray of the breasts performed in the absence of symptoms. Mammography is the most contemporary option for the premature detection of breast cancer in women. Extraction of features like micro calcifications and mass lesions in mammograms for early detection of breast cancer is necessary. Nevertheless, the opinion of the radiologist has a remarkable influence on the clarification of the mammogram. The sensitivity of screening mammography is affected by image quality and the radiologist’s level of expertise. Computer-aided diagnosis (CAD) technology can improve the performance of radiologists, in cost effective manner.

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Published

2017-12-05

How to Cite

[1]
U. M and M. Gangaiah, “Survey on – Premature detection breast cancer using CAD (computer aided diagnosis)”, pices, vol. 1, no. 8, pp. 142-144, Dec. 2017.