Ontology population using CNN model: Application to COVID-19 diagnosis-Reference-Cited by-同舟云学术

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Ontology population using CNN model: Application to COVID-19 diagnosis

Published:2024-04-24 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)
language:
Short-container-title:

Author:

Mellal Naçima¹,Saighi Asma²

Affiliation:

1. Institute of Applied Science & Technology University of Oum,Research Laboratory of Artificial Intelligence and Autonomous Objects,Dept. Networks and Telecommunication,El Bouaghi,Algeria

2. University of Oum,Research Laboratory of Artificial Intelligence and Autonomous Objects,Dept. Computer Science,El Bouaghi,Algeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10541106/10541120/10541121.pdf?arnumber=10541121

Reference36 articles.

1. Android App based on CNN for Covid-19 Detection using Chest X-ray Images

2. CNN Models Using Chest X-Ray Images for COVID-19 Detection: A Survey

3. Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives

4. SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network

5. CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization

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