An Empirical Study of CNN-Deep Learning Models for Detection of Covid-19 Using Chest X-Ray Images
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6880-8_17
Reference25 articles.
1. World Health Organization (2020) Coronavirus disease 2019 (COVID-19) Situation Report–196 [cited 3 Aug 2020]
2. Rahmani AM et al (2022) Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review. Multimed Tools Appl. https://doi.org/10.1007/s11042-022-12952-7
3. Agrawal T, Choudhary P (2021) FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images. Evol Syst. https://doi.org/10.1007/s12530-021-09385-2
4. Durrani M, Haq I u, Kalsoom U, Yousaf A (2020) Chest X-rays findings in COVID 19 patients at a University Teaching Hospital—A descriptive study. Pakistan J Med Sci 36 (COVID19-S4):S22
5. Sakib S et al (2022) Detection of COVID-19 disease from chest X-ray images: a deep transfer learning framework. MedRxiv. https://doi.org/10.1101/2020.11.08.20227819
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