A Systematic Review of Multimodal Deep Learning Approaches for COVID-19 Diagnosis
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51026-7_13
Reference55 articles.
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3. Almuayqil, S., Abd El-Ghany, S., Shehab, A.: Multimodality imaging of COVID-19 using fine-tuned deep learning models. Diagnostics 13(7), 1268 (2023)
4. Almutairi, S.A.: A multimodal AI-based non-invasive COVID-19 grading framework powered by deep learning, manta ray, and fuzzy inference system from multimedia vital signs. Heliyon 9(6) (2023)
5. Asraf, A.: Covid19-pneumonia-normal-chest-xray-pa-dataset (kaggle) (2020)
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