Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework

Background and motivation: Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification. Most artificial intelligence (AI) systems do not undergo generalization and are typically overfitted. Such traine...

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Detalles Bibliográficos
Autores principales: Dubey, Arun Kumar, Chabert, Gian Luca, Carriero, Alessandro, Pasche, Alessio, Danna, Pietro S. C., Agarwal, Sushant, Mohanty, Lopamudra, Nillmani, Sharma, Neeraj, Yadav, Sarita, Jain, Achin, Kumar, Ashish, Kalra, Mannudeep K., Sobel, David W., Laird, John R., Singh, Inder M., Singh, Narpinder, Tsoulfas, George, Fouda, Mostafa M., Alizad, Azra, Kitas, George D., Khanna, Narendra N., Viskovic, Klaudija, Kukuljan, Melita, Al-Maini, Mustafa, El-Baz, Ayman, Saba, Luca, Suri, Jasjit S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252539/
https://www.ncbi.nlm.nih.gov/pubmed/37296806
http://dx.doi.org/10.3390/diagnostics13111954

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252539/
https://www.ncbi.nlm.nih.gov/pubmed/37296806
http://dx.doi.org/10.3390/diagnostics13111954

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