Bevilacqua, V.; Altini, N.; Prencipe, B.; Brunetti, A.; Villani, L.; Sacco, A.; Morelli, C.; Ciaccia, M.; Scardapane, A.
Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics. Electronics 2021, 10, 2475.
https://doi.org/10.3390/electronics10202475
AMA Style
Bevilacqua V, Altini N, Prencipe B, Brunetti A, Villani L, Sacco A, Morelli C, Ciaccia M, Scardapane A.
Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics. Electronics. 2021; 10(20):2475.
https://doi.org/10.3390/electronics10202475
Chicago/Turabian Style
Bevilacqua, Vitoantonio, Nicola Altini, Berardino Prencipe, Antonio Brunetti, Laura Villani, Antonello Sacco, Chiara Morelli, Michele Ciaccia, and Arnaldo Scardapane.
2021. "Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics" Electronics 10, no. 20: 2475.
https://doi.org/10.3390/electronics10202475
APA Style
Bevilacqua, V., Altini, N., Prencipe, B., Brunetti, A., Villani, L., Sacco, A., Morelli, C., Ciaccia, M., & Scardapane, A.
(2021). Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics. Electronics, 10(20), 2475.
https://doi.org/10.3390/electronics10202475
