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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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