Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis
Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Fairness has become increasingly pivotal in medical image recognition. However, without mitigating bias, deploying unfair medical AI systems could harm the interests of underprivileged populations. In this paper, we observe that while features extracted from the deeper layers of neural networks generally offer higher accuracy, fairness conditions d...
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Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis
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TN_cdi_proquest_journals_2829980697
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2829980697
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2306.14518
