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Found 2 papers, 1 papers with code
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
The research community has witnessed the powerful potential of self-supervised Masked Image Modeling (MIM), which enables the models capable of learning visual representation from unlabeled data.
MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering
There is a key problem in the medical visual question answering task that how to effectively realize the feature fusion of language and medical images with limited datasets.
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