Boosting skin cancer diagnosis accuracy with ensemble approach

Boosting skin cancer diagnosis accuracy with ensemble approach

Abstract Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective therapy depends on precise classification of the several skin cancer forms, each with special traits. Because dermoscopy and other sophisticated imaging methods produce detailed lesion images...

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Main Authors: Priya Natha, Sivarama Prasad Tera, Ravikumar Chinthaginjala, Safia Obaidur Rab, C. Venkata Narasimhulu, Tae Hoon Kim
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Multi-class skin cancer classification
ISIC 2018 dataset
HAM10000 dataset
Machine learning (ML)
Random forest (RF)
Multi-layer perceptron neural network (MLPN)
Online Access:https://doi.org/10.1038/s41598-024-84864-5
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https://doi.org/10.1038/s41598-024-84864-5

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