Synthetic Genitourinary Image Synthesis via Generative Adversarial Networks: Enhancing AI Diagnostic Precision
H. ARORA, D. Van Booven, C.-B. Chen, S. Malpani, Y. Mirzabeigi, M. Mohammadi, Y. Wang
This paper generates synthetic genitourinary images using GANs to improve diagnostic model performance, showing high quality and pathologist approval.
bioRxiv · May 20, 2024 · PreprintBioengineering