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COVID-19 diagnosis and severity detection from CT-images using transfer learning and back propagation neural network

  • Published:2021-10 Issue:10 Volume:14 Page:1435-1445
  • ISSN:1876-0341
  • Container-title:Journal of Infection and Public Health
  • language:en
  • Short-container-title:Journal of Infection and Public Health

Author:

A.L. Aswathy,S. Anand Hareendran,S.S. Vinod Chandra

Publisher

Elsevier BV

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Medicine

Reference28 articles.

1. Molecular immune pathogenesis and diagnosis of COVID-19;Li;J Pharm Anal,2020

2. Quantification of tomographic patterns associated with covid-19 from chest CT;Chaganti,2020

3. COVID-19 pneumonia: what has CT taught us?;Lee;Lancet Infect Dis,2020

4. Covidx-net: a framework of deep learning classifiers to diagnose COVID-19 in X-ray images;Hemdan,2020

5. COVID-19 image data collection;Cohen,2020

Cited by 26 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. Machine Learning Algorithms for Classifying Disorder in Brain and Lung Biomedical Images;2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI);2023-11-27

2. Classification of suspected objects and severity assessment of COVID-19 from chest X-ray images using deep transfer learning;Research on Biomedical Engineering;2023-08-10

3. Toward artificial intelligence (AI) applications in the determination of COVID-19 infection severity: considering AI as a disease control strategy in future pandemics;Iranian Journal of Blood and Cancer;2023-08-01

4. COVID-19 Diagnosis From CT-images Using Transfer Learning;2023 Intelligent Methods, Systems, and Applications (IMSA);2023-07-15

5. Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning;Journal of Medical and Biological Engineering;2023-03-13
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