A self-supervised pretraining method that aligns global and local patch embeddings via composition and decomposition improves transfer to medical imaging tasks.
Representing part-whole hierarchies in foundation models by learning localizability composability and decomposability from anatomy via self supervision
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ACE: Anatomically Consistent Embeddings in Composition and Decomposition
A self-supervised pretraining method that aligns global and local patch embeddings via composition and decomposition improves transfer to medical imaging tasks.