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A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset

Nour Eldeen M. Khalifa, Florentín Smarandache, Gunasekaran Manogaran, Mohamed Loey

2021Cognitive Computation47 citationsDOIOpen Access PDF

Topics & Concepts

Transfer of learningCoronavirus disease 2019 (COVID-19)Artificial intelligenceSet (abstract data type)Computer scienceDeep learningSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakNatural language processingMedicineVirologyPathologyProgramming languageDiseaseInfectious disease (medical specialty)OutbreakCOVID-19 diagnosis using AIMachine Learning and ELMRetinal Imaging and Analysis
A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset | Litcius