STResNet: Covid-19 Detection by ResNet Transfer Learning and Stochastic Pooling
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-6775-6_40
Reference14 articles.
1. Bchetnia, M., et al., The outbreak of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): A review of the current global status. Journal of Infection and Public Health, 2020. 13(11): p. 1601–1610.
2. Elibol, E., Otolaryngological symptoms in COVID-19. European Archives of Oto-Rhino-Laryngology, 2021. 278(4): p. 1233–1236.
3. Dasgupta, A., et al., Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence. WIREs Data Mining and Knowledge Discovery, 2022. 12(4): p. e1462.
4. Yanase, J. and E. Triantaphyllou, A systematic survey of computer-aided diagnosis in medicine: Past and present developments. Expert Systems with Applications, 2019. 138: p. 112821.
5. Khan, M.A., Pseudo Zernike Moment and Deep Stacked Sparse Autoencoder for COVID-19 Diagnosis. CMC-Computers, Materials & Continua, 2021. 69(3): p. 3145–3162.
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