Enhanced skin cancer classification using modified efficientNetV2L with adaptive early stopping mechanism

Abstract The accurate classification of skin cancer types is a critical task in medical diagnostics, requiring robust and reliable models to distinguish between various skin lesions. Despite advancements in deep learning, developing models that generalize well to unseen data remains a challenge. Cur...

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Hauptverfasser:	Chandrasekar Venkatachalam, Shanmugavalli Venkatachalam, Arunkumar Balakrishnan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-11-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Skin cancer classification EfficientNetV2L Deep learning Earlystopping Callback mechanism
Online-Zugang:	https://doi.org/10.1038/s41598-025-22228-3
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