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Performance Analysis of Structural Similarity in Mammograms

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Title Statement Performance Analysis of Structural Similarity in Mammograms
 
Added Entry - Uncontrolled Name Selvamani, Indrajith ; Department of Electronics and Communication Engineering, Malla Reddy College of Engineering for Women, Hyderabad
Jayaprakash, Chinnadurai ; Department of Computer Science Engineering, Malla Reddy College of Engineering for Women, Hyderabad, Telangana
 
Uncontrolled Index Term Microcalcification; Mammography;Semantic network; Non-subsampled contourlet transform; Classification
 
Summary, etc. <p>This article introduces a new method to microcalcification discovery in digital mammograms, in which the classifiers are designed using the blend of unseen upper hand transformation and synthetic neural networks. Microcalcification diagnosis is actually carried out through drawing out the microcalcification homes from the graphic curve coefficients, as well as these results are actually used as semantic network input for distinction. The neural network has one input, 2 hidden layers as well as one outcome. The body classifies mammography graphics as healthy or uncommon and also the irregular intensity as curable or fatal. Experiments reveal that our technique can easily deliver a much better result. The system is actually examined in the Mammography Image Evaluation data source.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2020-08-26 14:54:13
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/39514
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 79, ##issue.no## 06
 
Language Note en