Detection of microcalcifications in mammograms using statistical measures based region-growing

Autor:	P. Shanmugavadivu, S. G. Lakshmi Narayanan
Rok vydání:	2013
Předmět:	Novel technique Pixel medicine.diagnostic_test business.industry Computer science Boundary (topology) Pattern recognition Image segmentation Variance (accounting) Image (mathematics) Region growing medicine Mammography Computer vision Artificial intelligence business
Zdroj:	SPIE Proceedings.
ISSN:	0277-786X
DOI:	10.1117/12.2012313
Popis:	A novel technique to detect the microcalcifications in digital mammograms presented in this paper uses the statistical measures, namely mean and variance, as the criterion to classify the pixels representing microcalcifications. This method has proved its credentials by accurately segmenting the microcalcifications in the mammogram image. This approach fixes the boundary of the microcalcifications accurately, which confirms, its qualitative performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f0dde78afe55b8cecb1459dc9bd20cc4 https://doi.org/10.1117/12.2012313 Zobrazit plný text záznamu