CoM$^3$eT: A foundation model for medical image analysis through federated, multidimensional context integration
Read the original on arXiv Machine Learning →arXiv:2608. 16268v1 Announce Type: cross Abstract: Medical foundation models improve generalization when training AI models with limited labeled data, but remain confined to a single specialty, such as pathology or radiology, and to either sparse or dense outputs, such as classification or segmentation.
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