Automated Pneumonia Detection using deep features in chest X-ray images-Reference-Cited by-同舟云学术

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Automated Pneumonia Detection using deep features in chest X-ray images

Published:2023-01-19 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT)
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Author:

Ouleddroun Taoufik¹,Ellahyani Ayoub²,El Ansari Mohamed¹

Affiliation:

1. University of Moulay Ismail,Faculty of Sciences, Informatics and Applications Laboratory,Department of Computer Science,Meknès,Morocco,50050

2. Ibn Zohr University,LabSIV, multidisciplinary Faculty,Department of Computer Science,Ouarzazate,Morocco

Funder

Ministry of Higher Education and Scientific Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10075680/10075657/10076157.pdf?arnumber=10076157

Reference34 articles.

1. Automated meth-ods for detection and classification pneumonia based on x-ray images using deep learning;asnaoui;ArXiv Preprint,0

2. Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques

3. A transfer learning method with deep residual network for pediatric pneumonia diagnosis

4. Con-volutional Neural Network Based Chest X- Ray Image Classification for Pneumonia Diagnosis;bhatt;Emerging Technology Trends in Electron-ics Communication and Networking Third International Conference ET2ECN 2020,2020

5. Pneumonia Detection Using Convolutional Neural Networks (CNNs);kaushik;Proceedings of First International Conference on Computing Communications and Cyber-Security (IC4S 2019),0

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