Scientific paper - Original scientific paper
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

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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, no. 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 and 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, no. 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, and sur.. Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks. Journal of Personalized Medicine [Internet]. 2021 January 04 [cited 2024 September 20];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, no. 1, January 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:271:812063. [Accessed: 20 September 2024]

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