IJMTES – DETECTION OF CANCER USING K-MEANS CLUSTER ALGORITHM AND TOPOLOGY CREATION

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : DETECTION OF CANCER USING K-MEANS CLUSTER ALGORITHM AND TOPOLOGY CREATION

Author’s Name : S Hasma Shruthi
unnamed

Volume 04 Issue 12 2017

ISSN no:  2348-3121

Page no: 19-21

Abstract – Micro calcifications are tiny specks of mineral deposits like calcium, that can be scattered throughout the mammary gland, or occur in clusters. They can also be found in the prostate in men and lead to prostatic hyperplasia. When found on a mammogram, a radiologist will then decide whether the specks are of concern usually, this is not the case. Commonly, they simply indicate the presence of tiny benign cysts, but can signify the presence of early breast cancer for this reason, it is important to attend regular screening sessions, as recommended by your health service. In currently the micro calcification cluster is a important primary sign of breast cancer. The breast cancer is detected the early stage and it is identify the benign or malignant. The existing approaches are tending to concentrate on to the morphological of micro calcification and/or statistical cluster features. In this paper , the proposed method is K-Means techniques are used to detect the malignant or benign. A graph generation is a set of micro calcification is to represent the multiple scales at topological structure of micro calcification clusters.

Keywords – Micro Calcification, Segmentation

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