Suri, J.S.; Agarwal, S.; Chabert, G.L.; Carriero, A.; Paschè, A.; Danna, P.S.C.; Saba, L.; Mehmedović, A.; Faa, G.; Singh, I.M.;
et al. COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans. Diagnostics 2022, 12, 1283.
https://doi.org/10.3390/diagnostics12051283
AMA Style
Suri JS, Agarwal S, Chabert GL, Carriero A, Paschè A, Danna PSC, Saba L, Mehmedović A, Faa G, Singh IM,
et al. COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans. Diagnostics. 2022; 12(5):1283.
https://doi.org/10.3390/diagnostics12051283
Chicago/Turabian Style
Suri, Jasjit S., Sushant Agarwal, Gian Luca Chabert, Alessandro Carriero, Alessio Paschè, Pietro S. C. Danna, Luca Saba, Armin Mehmedović, Gavino Faa, Inder M. Singh,
and et al. 2022. "COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans" Diagnostics 12, no. 5: 1283.
https://doi.org/10.3390/diagnostics12051283
APA Style
Suri, J. S., Agarwal, S., Chabert, G. L., Carriero, A., Paschè, A., Danna, P. S. C., Saba, L., Mehmedović, A., Faa, G., Singh, I. M., Turk, M., Chadha, P. S., Johri, A. M., Khanna, N. N., Mavrogeni, S., Laird, J. R., Pareek, G., Miner, M., Sobel, D. W.,
... Kalra, M. K.
(2022). COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans. Diagnostics, 12(5), 1283.
https://doi.org/10.3390/diagnostics12051283
