51. Novel application of the attention mechanism on medical image harmonization (X Yao) from t1w Watch Video
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Description: Medical image harmonization aims to transform the image 'style' among heterogeneous datasets while preserving the anatomical content. It enables data-sensitive learning-based approaches to fully leverage the data-power of large multi-site datasets with different image acquisitions. Recently, the attention mechanism has achieved excellent performance onthe image-to-image (I2I) translation of natural images. In this work, we further explore the potential of leveraging the attention mechanism to
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