Assessing Bias in Skin Lesion Classifiers With Contemporary Deep Learning and Post-Hoc Explainability Techniques

Assessing Bias in Skin Lesion Classifiers With Contemporary Deep Learning and Post-Hoc Explainability Techniques

As Artificial Intelligence (AI) is increasingly utilized in dermatology, ensuring fairness in the development of Machine Learning models is crucial, particularly in skin lesion classification, where decisions can significantly impact people’s lives. This study investigates the presence of...

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Bibliographic Details
Main Authors: Adam Corbin, Oge Marques
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Bias
deep learning
explainable AI
fairness
skin lesion classification
Online Access:https://ieeexplore.ieee.org/document/10162202/

Internet

https://ieeexplore.ieee.org/document/10162202/

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