Integrating explainability and bias detection in binary medical image classification: a systematic review
This systematic review explores how recent medical imaging studies combine explainability and bias detection in binary classification models, with a focus on promoting fairness and transparency in clinical AI. Following PRISMA guidelines, we analysed 34 studies (peer-reviewed publications and eligib...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2026-01-01
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| coleção: | Machine Learning: Health |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1088/3049-477X/ae209d |
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