The Impact of Bias Mitigation on Fairness and Accuracy in Automated Skin Lesion Classification

Matheus B. Rocha, Renato A. Krohling

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DOI: 10.1007/s41666-026-00252-w
Published: 2026-09-26
Container: Journal of Healthcare Informatics Research
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s41666-026-00252-w,
  title = {The Impact of Bias Mitigation on Fairness and Accuracy in Automated Skin Lesion Classification},
  author = {Matheus B. Rocha and Renato A. Krohling},
  year = {2026},
  journal = {Journal of Healthcare Informatics Research},
  doi = {10.1007/s41666-026-00252-w},
  url = {https://doi.org/10.1007/s41666-026-00252-w}
}

RIS

TY  - JOUR
TI  - The Impact of Bias Mitigation on Fairness and Accuracy in Automated Skin Lesion Classification
AU  - Matheus B. Rocha
AU  - Renato A. Krohling
PY  - 2026
JO  - Journal of Healthcare Informatics Research
DO  - 10.1007/s41666-026-00252-w
UR  - https://doi.org/10.1007/s41666-026-00252-w
ER  -

APA

Rocha, M. B., & Krohling, R. A. (2026). The Impact of Bias Mitigation on Fairness and Accuracy in Automated Skin Lesion Classification. Journal of Healthcare Informatics Research. https://doi.org/10.1007/s41666-026-00252-w

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crossref · retrieved 2026-11-10T12:24:43.605Z