Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns
Bardia Khosravi, Pouria Rouzrokh, John P. Mickley, Shahriar Faghani, A. Noelle Larson, Hillary W. Garner, Benjamin M. Howe, Bradley J. Erickson, Michael J. Taunton, Cody C. Wyles
Topics & Concepts
Artificial intelligenceSynthetic dataComputer scienceDeep learningFidelityConvolutional neural networkMedical imagingPelvisData setSegmentationGenerative adversarial networkGenerative modelComputer visionMachine learningGenerative grammarRadiologyMedicineTelecommunicationsArtificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AIAI in cancer detection