A Hybrid Deep Neural Approach for Segmenting the COVID Affection Area from the Lungs 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/s00354-023-00222-5.pdf
Reference33 articles.
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2. Hasan, M.M., Islam, M.U., Sadeq, M.J., Fung, W.K., Uddin, J.: Review on the evaluation and development of artificial intelligence for COVID-19 containment. Sensors 23(1), 527 (2023). https://doi.org/10.3390/s23010527
3. Demir, F., Demir, K., Şengür, A.: DeepCov19Net: Automated COVID-19 disease detection with a robust and effective technique deep learning approach. New Gener. Comput. (2022). https://doi.org/10.1007/s00354-021-00152-0
4. Kollias, D., Arsenos, A., Kollias, S. (2023) AI-MIA: Covid-19 detection and severity analysis through medical imaging. Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, Proceedings. Cham. Switzerland
5. Devoe, D.J., Han, A., Anderson, A., Katzman, D.K., Patten, S.B., Soumbasis, A., Flanagan, J., Paslakis, G., Vyver, E., Marcoux, G., Dimitropoulos, G.: The impact of the COVID-19 pandemic on eating disorders: A systematic review. Int. J. Eat. Disord. 56(1), 5–25 (2023). https://doi.org/10.1002/eat.23704
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