Identification of tiny and large calcification in breast: a study on mammographic image analysis
by Mahua Bhattacharya, Arpita Das
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 6, No. 4, 2010

Abstract: Breast cancer throughout the world is a significant health problem for women. Small clusters of microcalcifications appearing as collection of white spots on mammograms indicate an early warning of breast cancer. In present work we have initiated computer–aided analysis of mammograms to automate the diagnostic procedures for breast cancer screening using multiresolution and FCM based clustering algorithms. Further region growing approach has been applied to segment considerably larger calcifications and the masses. The advantage of the proposed method is its ability to detect both tiny and comparatively larger calcifications in a single image and to reduce the false-positive appearance of microcalcifications in breast.

Online publication date: Mon, 11-Oct-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bioinformatics Research and Applications (IJBRA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com