A Brief Overview of Deep Learning-Based Diagnostic Systems for the Detection of COVID-19 Using Medical Imaging-Reference-Cited by-同舟云学术

A Brief Overview of Deep Learning-Based Diagnostic Systems for the Detection of COVID-19 Using Medical Imaging

Published:2023 Issue: Volume: Page:305-322
ISSN:2194-5357
Container-title:Computational Vision and Bio-Inspired Computing
language:
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Author:

Chakraborty Gouri Shankar,Batra Salil

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9819-5_23

Reference49 articles.

1. Aparna, G., Gowri, S., Bharathi, R., Vimali, J.S., Jabez, J., Ajitha, P.: COVID-19 prediction using X-ray images. In: The Fifth International Conference on Trends in Electronics and Informatics (ICOEI)

2. Shanjiang, T., Chunjiang, W., Jiangtian, N., Neeraj, K., Yang, Z., Zehui, X., Ahmed, B.: EDL-COVID: ensemble deep learning for COVID-19 case detection from chest X-ray images. IEEE Trans. Ind. Inf. 17(9) (2021)

3. Ismael, A.M., Abdulkadir, Ş.: The investigation of multiresolution approaches for chest X‑ray image based COVID‑19 detection. Health Inf. Sci. Syst. (2020)

4. Seyed, M.J.J., Milad, A., Sajad, A., Rachid, H., Abbas, K., Saeid, N.: X-ray image based COVID-19 detection using evolutionary deep learning approach (2020)

5. Lingzhi, K., Jinyong, C.: Classification and detection of COVID-19 X-ray images based on DenseNet and VGG16 feature fusion (2022)

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