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Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks
Journal of Personalized Medicine, 11 (2021), 1; 28. https://doi.org/10.3390/jpm11010028

Lorencin, Ivan; Baressi Šegota, Sandi; Anđelić, Nikola; Blagojević, Anđela; Šušteršić, Tijana; Protić, Alen; Arsenijević, Miloš; Ćabov, Tomislav; Filipović, Nenad; Car, Zlatan

Citirajte ovaj rad

Lorencin, I., Baressi Šegota, S., Anđelić, N., Blagojević, A., Šušteršić, T., Protić, A. ... Car, Z. (2021). Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks. Journal of Personalized Medicine, 11. (1). doi: 10.3390/jpm11010028

Lorencin, Ivan, et al. "Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks." Journal of Personalized Medicine, vol. 11, br. 1, 2021. https://doi.org/10.3390/jpm11010028

Lorencin, Ivan, Sandi Baressi Šegota, Nikola Anđelić, Anđela Blagojević, Tijana Šušteršić, Alen Protić, Miloš Arsenijević, Tomislav Ćabov, Nenad Filipović i Zlatan Car. "Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks." Journal of Personalized Medicine 11, br. 1 (2021). https://doi.org/10.3390/jpm11010028

Lorencin, I., et al. (2021) 'Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks', Journal of Personalized Medicine, 11(1). doi: 10.3390/jpm11010028

Lorencin I, Baressi Šegota S, Anđelić N, Blagojević A, Šušteršić T, Protić A, i sur.. Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks. Journal of Personalized Medicine [Internet]. 04.01.2021. [pristupljeno 26.07.2021.];11(1). doi: 10.3390/jpm11010028

I. Lorencin, et al., "Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks", Journal of Personalized Medicine, vol. 11, br. 1, Siječanj 2021. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:184:664511. [Citirano: 26.07.2021.]

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