COVLIAS 1.0(Lesion) vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans.
- DOI
- 10.3390/diagnostics12051283
- Published
- 2022 May 21
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics12051283,
title = {COVLIAS 1.0(Lesion) vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans.},
author = {Suri JS and Agarwal S and Chabert GL and Carriero A and Paschè A and Danna PSC and Saba L and Mehmedović A and Faa G and Singh IM and Turk M and Chadha PS and Johri AM and Khanna NN and Mavrogeni S and Laird JR and Pareek G and Miner M and Sobel DW and Balestrieri A and Sfikakis PP and Tsoulfas G and Protogerou AD and Misra DP and Agarwal V and Kitas GD and Teji JS and Al-Maini M and Dhanjil SK and Nicolaides A and Sharma A and Rathore V and Fatemi M and Alizad A and Krishnan PR and Nagy F and Ruzsa Z and Fouda MM and Naidu S and Viskovic K and Kalra MK},
year = {2022},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics12051283},
url = {https://doi.org/10.3390/diagnostics12051283}
}RIS
TY - JOUR TI - COVLIAS 1.0(Lesion) vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans. AU - Suri JS AU - Agarwal S AU - Chabert GL AU - Carriero A AU - Paschè A AU - Danna PSC AU - Saba L AU - Mehmedović A AU - Faa G AU - Singh IM AU - Turk M AU - Chadha PS AU - Johri AM AU - Khanna NN AU - Mavrogeni S AU - Laird JR AU - Pareek G AU - Miner M AU - Sobel DW AU - Balestrieri A AU - Sfikakis PP AU - Tsoulfas G AU - Protogerou AD AU - Misra DP AU - Agarwal V AU - Kitas GD AU - Teji JS AU - Al-Maini M AU - Dhanjil SK AU - Nicolaides A AU - Sharma A AU - Rathore V AU - Fatemi M AU - Alizad A AU - Krishnan PR AU - Nagy F AU - Ruzsa Z AU - Fouda MM AU - Naidu S AU - Viskovic K AU - Kalra MK PY - 2022 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics12051283 UR - https://doi.org/10.3390/diagnostics12051283 ER -
APA
JS, S., S, A., GL, C., A, C., A, P., PSC, D., L, S., A, M., G, F., IM, S., M, T., PS, C., AM, J., NN, K., S, M., JR, L., G, P., M, M., DW, S., A, B., PP, S., G, T., AD, P., DP, M., V, A., GD, K., JS, T., M, A., SK, D., A, N., A, S., V, R., M, F., A, A., PR, K., F, N., Z, R., MM, F., S, N., K, V., & MK, K. (2022). COVLIAS 1.0(Lesion) vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics12051283
Source records
- pubmed · retrieved 2026-09-25T08:00:31.697Z