A ViT-base model pretrained on ImageNet-21k outperforms a ResNet50 baseline on kidney stone subtype classification, but the advantage may come from pretraining scale, not the transformer architecture.
European Urology Focus 7(1), 13–21 (2021) 2, 4, 5, 8 Kidney Stone Recognition with ViT 17
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Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs
A ViT-base model pretrained on ImageNet-21k outperforms a ResNet50 baseline on kidney stone subtype classification, but the advantage may come from pretraining scale, not the transformer architecture.