A Deep Convolutional Neural Network Based Lung Disorder Diagnosis
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Published:2019-03-01
Issue:
Volume:
Page:102-112
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ISSN:2456-3307
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Container-title:International Journal of Scientific Research in Computer Science, Engineering and Information Technology
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language:en
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Short-container-title:IJSRCSEIT
Author:
Mercina J. Juditha1, Madhumathi J.1, Priyanga V.1, Priya M. Deva1
Affiliation:
1. Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
Abstract
Lungs play an important role in human respiratory system. There are diseases that affect the functioning of lungs. To analyse lung diseases in the chest region using X-ray based Computer-Aided Diagnosis (CAD) system, it is necessary to determine the lung regions subject to analysis. In this paper, an intelligent system is proposed for lung disease detection. In this paper, Interstitial Lung Disease (ILD) patterns are classified using Convolutional Neural Networks (CNN). The proposed system involves five convolutional layers and three dense layers. The performance of the classification demonstrates the potential of CNN in analysing lung patterns.
Publisher
Technoscience Academy
Reference30 articles.
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