Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 3 Issue 4
A Novel DBSCAN Approach to Identify Microcalcifications in Cancer Images with Noise
Sandhya G D Vasumathi G T Raju
10.7753/IJCATR0304.1010
keywords : Cancer, Breast Cancer, Segmentation, Clustering, K-Means, K-Medoid, CLARANS.
Cancer is the most deadly disease among the human life. Breast Cancer is one of the most common cancers in this industrialized world and it is the most common cause of cancer related death among worldwide. Many segmentation technologies and clustering technologies like K-Means, K-Mediod, CLARANS etc have been proposed to identify the microcalcifications but this paper presents our new approach of identification of cancer cells in the images containing with noise and the performance analysis.
@artical{s342014ijcatr03041010,
Title = "A Novel DBSCAN Approach to Identify Microcalcifications in Cancer Images with Noise",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "3",
Issue ="4",
Pages ="245 - 249",
Year = "2014",
Authors ="Sandhya G D Vasumathi G T Raju"}
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