A benchmark comparing 12 deep models under CLIP, federated learning, and SVM/KNN for skin and brain cancer classification, with maxvit and convnext_l leading in most settings.
We use FHAM dataset as an example to evaluate the usefulness of 12 deep models using two FL techniques (FedA VG and Fed- Prox) with five optimizers
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Deep Modeling and Optimization of Medical Image Classification
A benchmark comparing 12 deep models under CLIP, federated learning, and SVM/KNN for skin and brain cancer classification, with maxvit and convnext_l leading in most settings.