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Why Are Generative Adversarial Networks Vital for Deep Neural Networks? A Case Study on COVID-19 Chest X-Ray Images

Mahmoud Y. Shams, Omar M. Elzeki, Mohamed Abd Elfattah, T. Medhat, Aboul Ella Hassanien

2020Studies in big data27 citationsDOI

Topics & Concepts

PreprocessorComputer scienceArtificial neural networkArtificial intelligenceStochastic gradient descentDeep learningScale (ratio)Generative adversarial networkImage (mathematics)Function (biology)Process (computing)Coronavirus disease 2019 (COVID-19)Deep neural networksReliability (semiconductor)Pattern recognition (psychology)Machine learningBiologyCartographyMedicineGeographyInfectious disease (medical specialty)DiseasePathologyPhysicsEvolutionary biologyOperating systemPower (physics)Quantum mechanicsCOVID-19 diagnosis using AIGenerative Adversarial Networks and Image SynthesisAI in cancer detection
Why Are Generative Adversarial Networks Vital for Deep Neural Networks? A Case Study on COVID-19 Chest X-Ray Images | Litcius