Computer Aided Detection Algorithm for Digital Mammogram Images – A Survey

Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 8, Issue 3

Abstract

In worldwide, Breast cancer is one of the leading disease among the women, under the age group of 15- 54. An automatic detection of micro calcifications is performed in magnetic resonance imaging system. Here discuss about, preprocessing and enhancement, feature extraction, segmentation, classification and analysis steps in the stage of preprocessing and enhancement, the medical MR images are enhanced by the computer aided detection algorithm. Segmentation performed by using K means clustering algorithm and then feature extracted by gray scale co-occurrence matrix (GLCM). Classification is done by support vector machine. Finally analysis determines using receiver operating characteristics.

Authors and Affiliations

Bommeswari Barathi , Siva Kumar. R , Karnan. M

Keywords

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  • EP ID EP94188
  • DOI -
  • Views 86
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How To Cite

Bommeswari Barathi, Siva Kumar. R, Karnan. M (2014). Computer Aided Detection Algorithm for Digital Mammogram Images – A Survey. INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY, 8(3), 138-147. https://europub.co.uk/articles/-A-94188