Citation¶

If you use this project in your research or work, please cite the foundational survey paper.

BibTeX¶

@article{flores2025fairness,
  title={AI Skin Cancer Detection Across Skin Tones: A Survey of Experimental Advances, Fairness Techniques, and Dataset Limitations},
  author={Flores, Jasmin and Alzahrani, Nabeel},
  journal={Computers (MDPI)},
  year={2025},
  note={Submitted}
}

APA Style¶

Flores, J., & Alzahrani, N. (2025). AI skin cancer detection across skin tones: A survey of experimental advances, fairness techniques, and dataset limitations. Computers (MDPI). Submitted.

Chicago Style¶

Flores, Jasmin, and Nabeel Alzahrani. "AI Skin Cancer Detection Across Skin Tones: A Survey of Experimental Advances, Fairness Techniques, and Dataset Limitations." Computers (MDPI) (2025). Submitted.

MLA Style¶

Flores, Jasmin, and Nabeel Alzahrani. "AI Skin Cancer Detection Across Skin Tones: A Survey of Experimental Advances, Fairness Techniques, and Dataset Limitations." Computers (MDPI), 2025. Submitted.

Research Foundation¶

This implementation project is built upon the comprehensive survey by Flores & Alzahrani (2025), which analyzes:

100+ experimental studies on fairness-aware skin cancer detection
State-of-the-art fairness techniques (FairSkin, FairDisCo, CIRCLe, etc.)
Dataset limitations and biases across skin tones
Clinical deployment experiences and benchmarks
Future research directions in equitable dermatological AI

The survey provides the theoretical foundation and research context for all technical decisions in this production implementation.

Additional References¶

If you use specific components, please also consider citing:

FairSkin Diffusion Augmentation¶

@inproceedings{zhang2023fairskin,
  title={FairSkin: Fair Diffusion for Skin Lesion Detection},
  author={Zhang, Y. and others},
  booktitle={MICCAI},
  year={2023}
}

FairDisCo Adversarial Debiasing¶

@article{gong2023fairdisco,
  title={FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning},
  author={Gong, S. and others},
  journal={ECCV},
  year={2023}
}

CIRCLe Color-Invariant Learning¶

@article{xu2023circle,
  title={CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions},
  author={Xu, X. and others},
  journal={MICCAI},
  year={2023}
}

BiaslessNAS Architecture Search¶

@inproceedings{wu2023biaslessnas,
  title={BiaslessNAS: Neural Architecture Search for Fair Medical Image Analysis},
  author={Wu, K. and others},
  booktitle={Medical Image Computing and Computer Assisted Intervention},
  year={2023}
}

Implementation Citation¶

For the implementation code itself, you can cite this repository:

@misc{bari2025fairness-impl,
  title={Fairness-Aware AI for Skin Cancer Detection: Production Implementation},
  author={Bari, Abdul and Flores, Jasmin and Alzahrani, Nabeel},
  year={2025},
  howpublished={\url{https://github.com/zhadyz/fairness-skin-cancer-detection}},
  note={Production-grade implementation of fairness-aware skin cancer detection}
}

Contact¶

For questions about citations or research collaboration:

Email: abdul.bari8019@coyote.csusb.edu

Research Advisor: nabeel.alzahrani@csusb.edu