CAMEO: A Class-Activation-Mapped Equitable Overlay Framework for Fair and Robust Deep Learning-based Skin Condition Diagnosis

arXiv:2609.36400 · eess.IV, cs.CV, cs.LG · Submitted 2026-09-28 · Read on arXiv

eess.IV, cs.CV, cs.LG

Submitted: 2026-09-28

Updated: 2026-09-28

Comments: 21 pages, 9 figures

Code: https://github.com/LabHuman-centered-ai/Cameo_project

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 64× in this paper · explained in 1 episode
• Robustness — 30× in this paper · explained in 5 episodes
• Core — 10× in this paper · explained in 2 episodes
• Calibration — 8× in this paper · explained in 7 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Adaptation — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Domain Adaptation — 6× in this paper · explained in 5 episodes
• AUC — 5× in this paper · explained in 2 episodes
• Covariate Shift — 5× in this paper · explained in 2 episodes
• Adversarial Robustness — 4× in this paper · explained in 3 episodes
• Foundation Model — 4× in this paper · explained in 3 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Mask Generation — 4× in this paper · explained in 2 episodes
• Class-Activation-Mapped Equitable Overlay — 3× in this paper
• Explainability — 3× in this paper · explained in 3 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Adversarial Training — 2× in this paper · explained in 1 episode
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Fast Gradient Sign Method — 2× in this paper
• Individual Typology Angle — 2× in this paper
• International Skin Imaging Collaboration — 2× in this paper
• Segment Anything Model — 2× in this paper
• Adversarial Debiasing — 1× in this paper · explained in 1 episode
• Adversarial Examples — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Explainable AI (XAI) — 1× in this paper · explained in 7 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Segment Anything Model (SAM) — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
• Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

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