A Deep Convolutional Neural Network Based Lung Disorder Diagnosis
| Autor: | M. Deva Priya, V. Priyanga, J. Juditha Mercina, J. Madhumathi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Confusion matrix Pattern recognition respiratory system Convolutional neural network respiratory tract diseases 030218 nuclear medicine & medical imaging Lung Disorder 03 medical and health sciences 0302 clinical medicine 030228 respiratory system Medicine Artificial intelligence business |
| Zdroj: | International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :102-112 |
| ISSN: | 2456-3307 |
| DOI: | 10.32628/cseit19525 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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