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Hybrid deep feature fusion and ensemble learning for multi-class skin lesion classification

IntroductionAutomated classification of skin lesion remains a challenging task due to high inter-class similarity, intra-class variance and extreme class imbalance in the dermoscopic datasets. To overcome these limitations, the proposed study presents a Hybrid Bi-Feature Network model as HB-Net, in...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Mahalakshmi G, Chanthini Baskar, Sasithradevi A
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2026-06-01
Schriftenreihe:Frontiers in Artificial Intelligence
Schlagworte:
Dermoscopic images
ensemble learning
feature fusion
hybrid deep learning
machine learning
multi-class classification
Online-Zugang:https://www.frontiersin.org/articles/10.3389/frai.2026.1818852/full
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