Proposing a New Feature Clustering Method in Order to the Binary Classification of COVID-19 in Computed Tomography Images
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1521-7_11
Reference41 articles.
1. Aggarwal P et al (2022) COVID-19 image classification using deep learning: Advances, challenges and opportunities. Comput Biol Med 105350
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3. Apostolopoulos ID, Mpesiana TA (2020) Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks. Phys Eng Sci Med 1
4. Balaha HM, El-Gendy EM, Saafan MM (2021) CovH2SD: a COVID-19 detection approach based on Harris Hawks optimization and stacked deep learning. Expert Syst Appl 186:115805
5. Balaji K, Lavanya K (2019) Medical image analysis with deep neural networks. Deep learning and parallel computing environment for bioengineering systems. Elsevier, Amsterdam, pp 75–97
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