Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00354-022-00194-y.pdf
Reference70 articles.
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2. Khan, S.H., Sohail, A., Zafar, M.M., Khan, A.: Coronavirus disease analysis using chest x-ray images and a novel deep convolutional neural network. Photodiagn. Photodyn. Ther. 35, 102473 (2021)
3. Shibly, K.H., Dey, S.K., Islam, M.T.-U., Rahman, M.M.: Covid faster r-cnn: a novel framework to diagnose novel coronavirus disease (covid-19) in x-ray images. Inf. Med. Unlocked 20, 100405 (2020)
4. Worldometer. Covid-19 coronavirus pandemic, 2021. https://www.worldometers.info/coronavirus/. Accessed 18 Nov 2021
5. Ahmad, F., Farooq, A., Ghani, M.U.: Deep ensemble model for classification of novel coronavirus in chest x-ray images. Comput. Intell. Neurosci. 2021 (2021)
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