International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 131 - Issue 6 |
Published: December 2015 |
Authors: Ramandeep Kaur, Prince Verma |
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Ramandeep Kaur, Prince Verma . Improved MLP-NN based approach for Lung Diseases Classification. International Journal of Computer Applications. 131, 6 (December 2015), 22-26. DOI=10.5120/ijca2015907472
@article{ 10.5120/ijca2015907472, author = { Ramandeep Kaur,Prince Verma }, title = { Improved MLP-NN based approach for Lung Diseases Classification }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 131 }, number = { 6 }, pages = { 22-26 }, doi = { 10.5120/ijca2015907472 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Ramandeep Kaur %A Prince Verma %T Improved MLP-NN based approach for Lung Diseases Classification%T %J International Journal of Computer Applications %V 131 %N 6 %P 22-26 %R 10.5120/ijca2015907472 %I Foundation of Computer Science (FCS), NY, USA
The Data Mining is extracting or mining knowledge from large volume of data. Classification technique is used in different-2 application. In this paper proposes a new classifier utilizing MLP approach by grouping based on nearest neighbor i.e. improved MLP-NN. The MLP-NN approach can handle noisy data and reduce complexity. This technique has been applied for medical diagnosis. This paper analyzes the lung images (i.e. CT-scan images) for identifying and classifying them among the various lung diseases (i.e. bronchitis, emphysema, pleural effusion or normal) using 100 images data set and 80 images data set.