Efficient Deep Neural Network for an Automated Detection of COVID-19 using CT images
Author:
Affiliation:
1. Université de Moncton,Perception, Robotics, and Intelligent Machines Research Group (PRIME),Dept of Computer Science,Moncton,NB,Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9658572/9658575/09659019.pdf?arnumber=9659019
Reference29 articles.
1. Deep learning-based detection for covid-19 from chest ct using weak label;zheng;medRxiv,2020
2. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015
3. Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach
4. Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
5. A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset
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1. Deep-Learning-Based COVID-19 Diagnosis and Implementation in Embedded Edge-Computing Device;Diagnostics;2023-04-03
2. Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification;Lecture Notes in Computer Science;2022
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