COVLIAS 1.0(Lesion) vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans

Background: COVID-19 is a disease with multiple variants, and is quickly spreading throughout the world. It is crucial to identify patients who are suspected of having COVID-19 early, because the vaccine is not readily available in certain parts of the world. Methodology: Lung computed tomography (C...

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Detalles Bibliográficos
Autores principales: Suri, Jasjit S., Agarwal, Sushant, Chabert, Gian Luca, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro S. C., Saba, Luca, Mehmedović, Armin, 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 D., 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, Fouda, Mostafa M., Naidu, Subbaram, Viskovic, Klaudija, Kalra, Manudeep K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141749/
https://www.ncbi.nlm.nih.gov/pubmed/35626438
http://dx.doi.org/10.3390/diagnostics12051283

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141749/
https://www.ncbi.nlm.nih.gov/pubmed/35626438
http://dx.doi.org/10.3390/diagnostics12051283

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