Digital Image Processing

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Application of Echo State Neural Network in Identification of Microcalcification in Breast


Affiliations
1 Mother Teresa Women’s University, Kodaikanal, India
2 Institute of Technology, Haramaya University, Ethiopia
     

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This paper presents a combination of wavelet with echo state neural network in identifying the microcalcification (MC) in a mammogram image. Mammogram image is decomposed using Daubauchi wavelet to 5 levels. Statistical features are extracted from the wavelet coefficients. Training of the ESNN/BPA is done using the features as inputs to the network along with a labeling of presence or non-presence of MC. The classification performance of ESNN is compared with back propagation algorithm.


Keywords

Microcalcification, Wavelet, Neural Network, Echo State Neural Network, Backpropagation Algorithm.
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  • Application of Echo State Neural Network in Identification of Microcalcification in Breast

Abstract Views: 222  |  PDF Views: 3

Authors

J. Jebathangam
Mother Teresa Women’s University, Kodaikanal, India
S. Purushothaman
Institute of Technology, Haramaya University, Ethiopia
P. Rajeswari
Mother Teresa Women’s University, Kodaikanal, India

Abstract


This paper presents a combination of wavelet with echo state neural network in identifying the microcalcification (MC) in a mammogram image. Mammogram image is decomposed using Daubauchi wavelet to 5 levels. Statistical features are extracted from the wavelet coefficients. Training of the ESNN/BPA is done using the features as inputs to the network along with a labeling of presence or non-presence of MC. The classification performance of ESNN is compared with back propagation algorithm.


Keywords


Microcalcification, Wavelet, Neural Network, Echo State Neural Network, Backpropagation Algorithm.