CMAP-Fusion Ablation Study Results for ISIC Skin Cancer Classification

Ablation study results for CMAP-Fusion on the ISIC Skin Cancer datasets. The dataset compares the impact of ViT-B/16, SmartTrim, and CMT modules on classification accuracy, F1 Score, AUC, Kappa, model parameters, FLOPs, feature sparsity, and cross-modal similarity. Chong Liu published the dataset on figshare in April 2026.

Use Cases

• Compare ablation component performance based on metrics like accuracy, F1 Score, and AUC mentioned in the description
• Analyze trade-offs between model complexity and efficiency based on parameters and FLOPs mentioned in the description
• Evaluate feature sparsity and cross-modal similarity impacts on model performance mentioned in the description

Strengths

• Dataset is openly licensed under CC-BY-4.0
• File size is 5.5 KB, indicating a compact and focused results table

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

figshare

Freshness

Last updated 2026-04-24 17:35:36