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.
BJU international130(6), 786–798 (2022) 4, 5, 8
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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.