Enhancing Pneumonia Detection in Chest X-Rays: A Combined GAN and CNN Approach
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61471-2_3
Reference18 articles.
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2. Mahomed, N., Fancourt, N., De Campo, J., De Campo, M., Akano, A., Cherian, T., et al.: Preliminary report from the world health organisation chest radiography in epidemiological Studies project. Pediatr. Radiol. 47(11), 1399–1404 (2017). https://doi.org/10.1007/s00247-017-3834-9
3. Franquet, T.: Imaging of pneumonia: trends and algorithms. Eur. Respir. J. 18(1), 196–208 (2001). https://doi.org/10.1183/09031936.01.00213501
4. Segal, B., Rubin, D.M., Rubin, G., et al.: Evaluating the clinical realism of synthetic chest X-rays generated using progressively growing GANs. SN Comput. Sci. 2, 321 (2021)
5. Albahli, S.: Efficient GAN-based chest radiographs (CXR) augmentation to diagnose coronavirus disease pneumonia. Int. J. Med. Sci. 17(10), 1439–1448 (20206). https://doi.org/10.7150/ijms.46684. PMID: 32624700; PMCID: PMC7330663
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