FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11517-024-03107-x.pdf
Reference47 articles.
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3. El-Kenawy ESM, Mirjalili S, Ibrahim A, Alrahmawy M, El-Said M, Zaki RM, Eid MM (2021) Advanced meta-heuristics, convolutional neural networks, and feature selectors for efficient COVID-19 X-ray chest image classification. Ieee Access 9:36019–36037
4. Jyoti K, Sushma S, Yadav S, Kumar P, Pachori RB, Mukherjee S (2023) Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images. Comput Biol Med 152:106331
5. Bhatele KR, Jha A, Tiwari D, Bhatele M, Sharma S, Mithora MR, Singhal S (2022) COVID-19 detection: a systematic review of machine and deep learning-based approaches utilizing chest X-Rays and CT scans. Cognit Comput 1–38. https://doi.org/10.1007/s12559-022-10076-6
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