Multi-Instance Contrastive Learning (MICLe)

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Sequence showing a training step that uses different perspectives of the same patient to enhance unsupervised pretraining
Multi-Instance Contrastive Learning (MICLe)

Same Patient, Different Views: Contrastive pretraining improves medical imaging AI.

When you lack labeled training data, pretraining a model on unlabeled data can compensate. New research pretrained a model three times to boost performance on a medical imaging task.

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