Automatic Detection of Coronavirus (COVID-19) from Chest CT Images using VGG16-Based Deep-Learning
Author:
Affiliation:
1. University of Tehran,CIPCE, School of Electrical and Computer Engineering,Tehran,Iran
2. Tabriz University of Medical Sciences,Faculty of Medicine,Department of Anatomical Sciences,Tabriz,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9319322/9319323/09319326.pdf?arnumber=9319326
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Thorough Analysis of Deep Learning Methods for Diagnosis of COVID-19 CT Images;Advances in Medical Technologies and Clinical Practice;2024-04-26
2. DENG ENTROPY AND INFORMATION DIMENSION FOR COVID-19 AND COMMON PNEUMONIA CLASSIFICATION;Fractals;2024-01
3. An Enhanced Technique of COVID-19 Detection and Classification Using Deep Convolutional Neural Network from Chest X-Ray and CT Images;BioMed Research International;2023-12-11
4. Performance Assessment of DL Model in Iraq for Covid-19 Patient Severity Prediction from X-Ray Scan Images;Oct-Nov 2023;2023-09-23
5. Diagnosis of COVID-19 from Multimodal Imaging Data Using Optimized Deep Learning Techniques;SN Computer Science;2023-02-17
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