Litcius/Paper detail

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

2022The Journal of Arthroplasty34 citationsDOI

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