A DINOv2 vision transformer pre-trained on 200M unlabeled CT/MRI slices matches or beats prior foundation models and radiology residents on a new 19-task benchmark.
URL https://www.mdpi.com/2075-4418/ 15/9/1146
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Curia: A Multi-Modal Foundation Model for Radiology
A DINOv2 vision transformer pre-trained on 200M unlabeled CT/MRI slices matches or beats prior foundation models and radiology residents on a new 19-task benchmark.