Detection and Classification of Lung Disease Using Deep Learning Architecture from X-ray Images-Reference-Cited by-同舟云学术

Detection and Classification of Lung Disease Using Deep Learning Architecture from X-ray Images

Published:2022 Issue: Volume: Page:444-455
ISSN:0302-9743
Container-title:Advances in Visual Computing
language:
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Author:

Kabiraj Anwesh^ORCID,Meena Tanushree^ORCID,Reddy Pailla Balakrishna^ORCID,Roy Sudipta^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20713-6_34

Reference17 articles.

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3. Luo, L., et al.: Deep mining external imperfect data for chest X-ray disease screening. IEEE Trans. Med. Imaging 39(11), 3583–3594 (2020)

4. Pham, H.H., Le, T.T., Tran, D.Q., Ngo, D.T., Nguyen, H.Q.: Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels. Neurocomputing 437, 186–194 (2021)

5. Blain, M., et al.: Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images. Diagn. Interv. Radiol. (Ankara, Turkey) 27(1), 20–27 (2021)

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