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An Identification of Breast Cancer Disease by using ANN using Contourlet Transform


Soumya Hundekar , BNM INSTITUTE OF TECHNOLOGY; Dr. Saritha Chakrasali, BNM Institute of Technology


Mammography, Artificial Neural Network, Contourlet Transform


The most frequent cause of death of women in a recent times is breast cancer around the globe. Mammography found to be effective in an early diagnosis of breast cancer. Earlier, it was difficult for radiologists to identify the cancerous tumor present in a mammographic X-Ray pictures. In this presented work, a technique for classification of mammogram image on the basis of Artificial Neural Network (ANN) by employing feature extraction techniques in an image processing domain is stated. The feature vectors are extracted by applying Contourlet transformation (CT) procedures on a mammographic image. Finally, the classification process is conducted utilizing ANN technique.

Other Details

Paper ID: IJSRDV6I110089
Published in: Volume : 6, Issue : 11
Publication Date: 01/11/2019
Page(s): 116-118

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