Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns

Autor: Khosravi, Bardia, Rouzrokh, Pouria, Mickley, John P., Faghani, Shahriar, Larson, A. Noelle, Garner, Hillary W., Howe, Benjamin M., Erickson, Bradley J., Taunton, Michael J., Wyles, Cody C.
Zdroj: In The Journal of Arthroplasty October 2023 38(10):2037-2043
Databáze: ScienceDirect