Comparing the Accuracy and the Efficiency in Detection of Coronavirus in CT Scans and X Ray Images
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-95711-7_44
Reference18 articles.
1. Piccialli, F., di Cola, V.S., Giampaolo, F., Cuomo, S.: The role of artificial intelligence in fighting the covid-19 pandemic. Inf. Syst. Front. 23(6), 1467–1497 (2021). https://doi.org/10.1007/s10796-021-10131-x
2. Umri, B.K., WafaAkhyari, M., Kusrini, K.: Detection of Covid-19 in chest X-ray image using CLAHE and convolutional neural network. In: 2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS), pp. 1–5 (2020). https://doi.org/10.1109/ICORIS50180.2020.9320806
3. James, R.M., Sunyoto, A.: Detection Of CT-scan lungs COVID-19 image using convolutional neural network and CLAHE. In: 2020 3rd International Conference on Information and Communications Technology (ICOIACT), pp. 302–307 (2020). https://doi.org/10.1109/ICOIACT50329.2020.9332069
4. Mittal, H., Pandey, A.C., Pal, R., Tripathi, A.: A new clustering method for the diagnosis of COVID 19 using medical images. Appl. Intell. 51(5), 2988–3011 (2021). https://doi.org/10.1007/s10489-020-02122-3
5. Perumal, V., Narayanan, V., Rajasekar, S.J.S.: Detection of COVID-19 using CXR and CT images using transfer learning and Haralick features. Appl. Intell. 51(1), 341–358 (2020). https://doi.org/10.1007/s10489-020-01831-z
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