Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

arXiv:2311.13717v2 Announce Type: replace
Abstract: Fr\'echet Inception Distance (FID) is a widely used metric for assessing synthetic image quality. It relies on an ImageNet-based feature extractor, making its applicability to medical imaging unclear. A recent trend is to adapt FID to medical imaging through feature extractors trained on medical images. Our study challenges this practice by demonstrating that ImageNet-based extractors are more consistent and aligned with human judgment than their RadImageNet counterparts. We evaluated sixteen StyleGAN2 networks across four medical …

arxiv cs.cv evaluation evidence extraction feature feature extraction generative imaging medical medical imaging trend type