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

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第一作者： Umesh Kumar,Lilhore

第一单位： Department of Computer Science and Engineering, School of Computing Science and Engineering, Galgotias University, Greater Noida, 203201, Uttar Pradesh, India.;Galgotias Multidisciplinary Research & Development Cell (G-MRDC), Galgotias University, Greater Noida, 203201, Uttar Pradesh, India.

作者： Umesh Kumar,Lilhore ^[1] ; Yogesh Kumar,Sharma ^[2] ; Sarita,Simaiya ^[3] ; Roobaea,Alroobaea ^[4] ; Abdullah M,Baqasah ^[5] ; Majed,Alsafyani ^[4] ; Afnan,Alhazmi ^[5]

作者单位： Department of Computer Science and Engineering, School of Computing Science and Engineering, Galgotias University, Greater Noida, 203201, Uttar Pradesh, India.;Galgotias Multidisciplinary Research & Development Cell (G-MRDC), Galgotias University, Greater Noida, 203201, Uttar Pradesh, India. ^[1] Department of Computer Science, Koneru Lakshmaiah University Deemed to be University, Vijayawada, 520 002, Andhra Pradesh, India. ^[2] Department of Computer Science and Engineering, School of Computing Science and Engineering, Galgotias University, Greater Noida, 203201, Uttar Pradesh, India. saritasimaiya@gmail.com.;Arba Minch University, Arba Minch, Ethiopia. saritasimaiya@gmail.com. ^[3] Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia. ^[4] Department of Information Technology, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21974, Saudi Arabia. ^[5]

关键词 ConvNeXt Deep learning EfficientNetV2 Hybrid model Skin Cancer detection Swin transformer

医学主题词人类(Humans);皮肤肿瘤(Skin Neoplasms);黑色素瘤(Melanoma)

DOI 10.1038/s41598-025-98205-7

PMID 40295588

发布时间 2025-04-28

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