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Helmholtz Munich
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Generating realistic patient embeddings can yield performance on par with full datasets, even in scenarios with missing classes.
QG-MIL achieves a remarkable +6.1 mean macro F1 point improvement across diverse medical imaging tasks, redefining stability and performance in attention-based learning.
