S. V.

Automated Skin Lesion Detection and Classification Using a Five-Fold Ensemble of Efficientnet-B4 with Adaptive Metadata Gating

Skin cancer incidence is rising globally, and early accurate classification of dermoscopic lesions is critical for improving patient outcomes, particularly for melanoma where delayed detection drastically worsens prognosis. This work presents a comprehensive framework for multiclass skin lesion classification on the IS...