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Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation

Jasjit S. Suri, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Alessandro Carriero, Alessio Paschè, Pietro Danna, Armin Mehmedović, Gavino Faa, Tanay Jujaray, Inder M. Singh, Narendra N. Khanna, John R. Laird, Petros P. Sfikakis, Vikas Agarwal, Jagjit S. Teji, Rajanikant R Yadav, Ferenc István Nagy, Zsigmond Tamás Kincses, Zoltán Ruzsa, Klaudija Višković, Mannudeep K. Kalra

2022Journal of Medical Systems18 citationsDOIOpen Access PDF

Topics & Concepts

Artificial intelligenceDeep learningHounsfield scaleComputed tomographyComputer scienceGround truthGround-glass opacitySegmentationCoronavirus disease 2019 (COVID-19)Machine learningPattern recognition (psychology)RadiologyMedicinePathologyInternal medicineInfectious disease (medical specialty)AdenocarcinomaCancerDiseaseCOVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment
Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation | Litcius