COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts

(1) Background: COVID-19 computed tomography (CT) lung segmentation is critical for COVID lung severity diagnosis. Earlier proposed approaches during 2020–2021 were semiautomated or automated but not accurate, user-friendly, and industry-standard benchmarked. The proposed study compared the COVID Lu...

Descripción completa

Detalles Bibliográficos
Autores principales: Suri, Jasjit S., Agarwal, Sushant, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro S. C., Columbu, Marta, Saba, Luca, Viskovic, Klaudija, Mehmedović, Armin, Agarwal, Samriddhi, Gupta, Lakshya, Faa, Gavino, Singh, Inder M., Turk, Monika, Chadha, Paramjit S., Johri, Amer M., Khanna, Narendra N., Mavrogeni, Sophie, Laird, John R., Pareek, Gyan, Miner, Martin, Sobel, David W., Balestrieri, Antonella, Sfikakis, Petros P., Tsoulfas, George, Protogerou, Athanasios, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D., Teji, Jagjit S., Al-Maini, Mustafa, Dhanjil, Surinder K., Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R., Nagy, Ferenc, Ruzsa, Zoltan, Gupta, Archna, Naidu, Subbaram, Paraskevas, Kosmas I., Kalra, Mannudeep K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699928/
https://www.ncbi.nlm.nih.gov/pubmed/34943603
http://dx.doi.org/10.3390/diagnostics11122367

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699928/
https://www.ncbi.nlm.nih.gov/pubmed/34943603
http://dx.doi.org/10.3390/diagnostics11122367

Ejemplares similares