A review of different deep learning methods in processing the CT scan images of the COVID-19 patients’ lungs
Author:
Funder
Key R&D and extension projects in Henan Province
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s41939-023-00292-4.pdf
Reference104 articles.
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3. Ackermann M, Anders H-J, Bilyy R, Bowlin GL, Daniel C, De Lorenzo R, Egeblad M, Henneck T, Hidalgo A, Hoffmann M (2021) Patients with COVID-19: in the dark-NETs of neutrophils. Cell Death Differ 28(11):3125–3139
4. Agrawal S, Honnakasturi V, Nara M, Patil N (2023) Utilizing deep learning models and transfer learning for COVID-19 detection from X-ray images. SN Comput Sci 4(4):326
5. Ahsan M, Based MA, Haider J, Kowalski M (2021) COVID-19 detection from chest X-ray images using feature fusion and deep learning. Sensors 21(4):1480
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