Identification of tiny and large calcification in breast: a study on mammographic image analysis

Authors:
Mahua Bhattacharya;Arpita Das
Affiliations:
Indian Institute of Information Technology and Management, Gwalior 474010, MP, India.;Institute of Radio Physics and Electronics, University of Calcutta, Kolkata 700009, India
Venue:
International Journal of Bioinformatics Research and Applications
Year:
2010

Citing 2
Cited 1

Fuzzy Logic Based Segmentation of Microcalcification in Breast Using Digital Mammograms Considering Multiresolution

IMVIP '07 Proceedings of the International Machine Vision and Image Processing Conference
A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques

IEEE Transactions on Information Technology in Biomedicine

Combining approaches for early diagnosis of breast diseases using thermal imaging

International Journal of Innovative Computing and Applications

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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.