Developing Convolutional Neural Networks-Based System for Predicting Pneumonia Using X-Radiography Image
Open Access
- 21 March 2020
- journal article
- Published by International Library of Science
- Vol. 3 (3), 1-3
- https://doi.org/10.36462/h.biosci.20201
Abstract
Pneumonia is a respiratory disease caused by Streptococcus Pneumoniae infection. It is a life-threatening disease that causes a high mortality rate for children under 5 years of age every year. Under such circumstances, we have a vital need to develop an appropriate and consistent protocol for the identification and diagnosis of pneumonia. The incorporation of computational approaches into the diagnosis of disease is extremely efficient, promising and reliable. Our goal is to integrate these methods into pneumonia routine diagnosis to save countless lives around the world.We used the machine learning algorithm of Convolutional Neural Networks (CNNs) to identify visual symptoms of pneumonia in X-ray radiographic images and make a diagnostic decision. The dataset used to construct the computational model consists of 5844 X-ray images belonging to the pneumonia affected and normal individuals. Our computational model has been successful in identifying pneumonia patients with a diagnosis accuracy of 84%. Our model may increase the efficiency of the pneumonia diagnosis process and accelerate pathogenicity studies of the disease.Keywords
This publication has 14 references indexed in Scilit:
- TarDict: RandomForestClassifier-based software predict Drug-Tartget interactionPublished by Cold Spring Harbor Laboratory ,2020
- The Clinical Utility of Chest Radiography for Identifying Pneumonia: Accounting for Diagnostic Uncertainty in Radiology ReportsAmerican Journal of Roentgenology, 2019
- Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profilesJournal of Bioinformatics and Computational Biology, 2019
- Bacterial PneumoniaPublished by Elsevier BV ,2019
- Pneumonia Detection with Deep Convolutional ArchitecturePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2019
- Pathological brain detection based on AlexNet and transfer learningJournal of Computational Science, 2018
- Fast ConvNets Using Group-Wise Brain DamagePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Pneumonia. Treatment and DiagnosisAnnals of the American Thoracic Society, 2014
- Machine learning for neuroimaging with scikit-learnFrontiers in Neuroscience, 2014
- Proceedings of the second USENIX symposium on Operating systems design and implementationPublished by Association for Computing Machinery (ACM) ,1996