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Found 4 papers, 3 papers with code
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets
In addition, we employ a shallow CNN as a prompt generator to create a prompt embedding from the input image, which grasps fine-grained information and CNN's inductive biases to guide the segmentation task on small datasets.
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets
Naivly combining datasets from different domains can result in negative knowledge transfer (NKT), i. e., a decrease in model performance on some domains with non-negligible inter-domain heterogeneity.
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Deep learning models have achieved great success in automating skin lesion diagnosis.
BoosterNet: Improving Domain Generalization of Deep Neural Nets Using Culpability-Ranked Features
Deep learning (DL) models trained to minimize empirical risk on a single domain often fail to generalize when applied to other domains.
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