SkinEHDLF a hybrid deep learning approach for accurate skin cancer classification in complex systems

SkinEHDLF a hybrid deep learning approach for accurate skin cancer classification in complex systems

Abstract Skin cancer represents a significant global public health issue, and prompt and precise detection is essential for effective treatment. This study introduces SkinEHDLF, an innovative deep-learning model that enhances skin cancer classification. SkinEHDLF utilizes the advantages of several a...

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Bibliographic Details
Main Authors: Umesh Kumar Lilhore, Yogesh Kumar Sharma, Sarita Simaiya, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Afnan Alhazmi
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Deep learning
Skin Cancer detection
Hybrid model
ConvNeXt
EfficientNetV2
Swin transformer
Online Access:https://doi.org/10.1038/s41598-025-98205-7
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https://doi.org/10.1038/s41598-025-98205-7

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