Enhancing pneumonia detection with masked neural networks: a deep learning approach
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-10185-3.pdf
Reference26 articles.
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2. Yan C, Hui R, Lijuan Z, Zhou Y (2019) “Lung ultrasound vs. chest X-ray in children with suspected pneumonia confirmed by chest computed tomography: a retrospective cohort study.” Exp Ther Med. https://doi.org/10.3892/etm.2019.8333
3. Ayan E, Karabulut B, Ünver HM (2022) Diagnosis of pediatric pneumonia with ensemble of deep convolutional neural networks in chest X-ray images. Arab J Sci Eng 47(2):2123–2139. https://doi.org/10.1007/s13369-021-06127-z
4. Kumar R et al (2020) “Accurate prediction of COVID-19 using chest X-ray images through deep feature learning model with SMOTE and machine learning classifiers.” MedRxiv. https://doi.org/10.1101/2020.04.13.20063461
5. Elshennawy NM, Ibrahim DM (2020) Deep-pneumonia framework using deep learning models based on chest X-ray images. Diagnostics 10:649. https://doi.org/10.3390/diagnostics10090649
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