Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
机构 * Center for Artificial Intelligence in Medicine and Imaging, Stanford University(斯坦福大学人工智能医学与成像中心) ; Department of Radiology, Stanford University(斯坦福大学放射科) ; Department of Applied Physics, Stanford University(斯坦福大学应用物理系) ; Department of Biomedical Data Science, Stanford University(斯坦福大学生物医学数据科学系) ; Institute for Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich(苏黎世大学医院诊断与介入放射学研究所) ; LAION ; Juelich Supercomputing Center (JSC), Research Center Juelich (FZJ)(耶鲁超级计算中心(JSC)、耶鲁研究中心(FZJ)) ; Department of Radiology & Imaging Sciences, Emory University(埃默里大学放射科与成像科学系) ; Department of Radiology, University of Florida College of Medicine(佛罗里达大学医学院放射科)
专题命中 可控生成 :text-to-image(abstract);diffusion(abstract);分类 cs.CV