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Articles

Improving dermatology classifiers across populations using images generated by large diffusion models

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By Luke Sagers, Matthew Groh, Pranav Rajpurkar, James Allen Diao
| openreview.net
Keywords: computer vision, dermatology, synthetic data, diffusion models, fairness TL;DR: We show that targeted generation of synthetic images by DALL·E 2 can be used to improve the performance for dermatological classifiers on a benchmark dataset overall and particularly for underrepresented groups. Abstract: Dermatological classification algorithms developed without sufficiently diverse training data may generalize poorly across populations.
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