Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography

Background: For COVID-19 lung severity, segmentation of lungs on computed tomography (CT) is the first crucial step. Current deep learning (DL)-based Artificial Intelligence (AI) models have a bias in the training stage of segmentation because only one set of ground truth (GT) annotations are evalua...

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Detalles Bibliográficos
Autores principales: Suri, Jasjit S., Agarwal, Sushant, Elavarthi, Pranav, Pathak, Rajesh, Ketireddy, Vedmanvitha, Columbu, Marta, Saba, Luca, Gupta, Suneet K., Faa, Gavino, Singh, Inder M., Turk, Monika, Chadha, Paramjit S., Johri, Amer M., Khanna, Narendra N., Viskovic, Klaudija, 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., Ferenc, Nagy, Ruzsa, Zoltan, Gupta, Archna, Naidu, Subbaram, 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/PMC8625039/
https://www.ncbi.nlm.nih.gov/pubmed/34829372
http://dx.doi.org/10.3390/diagnostics11112025

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