Title :
Identification of microcalcifications in digital mammogram using Modified k-mean Clustering
Author :
Shanmugavadivu, P. ; Rajeswari, R.Santhini
Author_Institution :
Department of Computer Science and Applications Gandhigram Rural Institute-Deemed University, Gandhigram-624 302 Dindigul, Tamil Nadu, India
Abstract :
This paper presents a new clustering technique namely Modified k-Means Clustering (MkMC) which is devised by fusing the principle of k-Means clustering and k-Midrange clustering. The results of MkMC enclose the fact that the degree of accuracy of clustering and the substantial mass identification is higher than the base methods. Thus this method provides greater scope for breast cancer prognosis.
Keywords :
Mammography; k-Means clustering; masses; microcalcification; modified k-Means clustering; unsupervised clustering;
Conference_Titel :
Emerging Trends in Science, Engineering and Technology (INCOSET), 2012 International Conference on
Conference_Location :
Tiruchirappalli, Tamilnadu, India
Print_ISBN :
978-1-4673-5141-6
DOI :
10.1109/INCOSET.2012.6513908