Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images
Author:
Affiliation:
1. RIADI Laboratory University of Manouba Manouba Tunisia
2. Security Engineering Lab Prince Sultan University Riyadh Saudi Arabia
3. Robotics and Internet‐of‐Things Lab Prince Sultan University Riyadh Saudi Arabia
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22653
Reference54 articles.
1. Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
2. Pneumonia classification using deep learning from chest X‐ray images during COVID‐19;Ibrahim AU;Cogn Comput,2021
3. Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images
4. Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
5. Deep learning for healthcare applications based on physiological signals: A review
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