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papersTODAY 04:00 UTC

arXiv Paper Proposes Counterfactual Medical Images for Dataset Augmentation

A new arXiv preprint examines using counterfactual image generation to augment training data for medical image analysis. The authors argue that biased datasets produce biased models with limited clinical usefulness, and that synthetic counterfactual images can help offset those biases. The work is announced as a new submission in the cs.LG category.

arXivcounterfactual-image-generationdataset-augmentationdataset-biasmedical-image-analysissynthetic data

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AITo do($x$) or not to do($x$): Medical Image Counterfactuals for Dataset Augmentation ↗TODAY 04:00 UTC
arXiv cs.LGTo do($x$) or not to do($x$): Medical Image Counterfactuals for Dataset Augmentation ↗TODAY 04:00 UTC

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