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Author

Nethmi Pathirana

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Preprint Aug 2026

Multimodal Skin Lesion Classification with Swin Transformer and Clinical Metadata Fusion

Skin lesion classification plays an important role in supporting the early diagnosis of skin cancer. However, automated analysis remains challenging due to class imbalance, inter-class similarity, and intra-class variability in dermoscopic images. This paper proposes a multimodal classification framework that combines...

Nethmi Pathirana, Isuru Munasinghe, Dileeka Alwis · 0 citations
Preprint Aug 2026

Does Explainability Transfer? A Controlled Benchmark of Attribution Methods on Vision Transformers and CNNs

A controlled benchmark that evaluates attribution quality across five dimensions: faithfulness, localization, robustness, complexity, and computational cost shows that attribution performance is strongly architecture-dependent and that rankings established on CNNs do not reliably transfer to transformer-based models.

Sathiyamohan Nishankar, Nethmi Pathirana, Pubudu Sanjeewani et al. · 0 citations

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