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@@ -19,6 +19,7 @@ MedITok is the first unified visual tokenizer for medical images. Trained on 30M
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  - achieves state-of-the-art performance across diverse medical imaging modalities and tasks.
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  - can be incorporated into prevelant generative models (e.g., autoregressive architectures) for downstream medical image synthesis and interpretation.
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  ## ✏️ Citation
 
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  - achieves state-of-the-art performance across diverse medical imaging modalities and tasks.
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  - can be incorporated into prevelant generative models (e.g., autoregressive architectures) for downstream medical image synthesis and interpretation.
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+ This work is supported by Shanghai Innovation Institute (SII).
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  ## ✏️ Citation