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.
PROGRES EN UROLO- GIE 27(2), F26–F35 (2017) 1, 3
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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.