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Optimizing vision transformer for melanoma classification： integration of feature selection and InfoNCE loss
Information Sciences | 更新时间：2025-09-28

    • Optimizing vision transformer for melanoma classification： integration of feature selection and InfoNCE loss

    • “In the field of melanoma image classification, researchers have proposed an improved Vision Transformer model that significantly improves classification accuracy and diagnostic efficiency through dynamic feature screening and contrastive learning.”
    • Optics and Precision Engineering   Vol. 33, Issue 16, Pages: 2649-2660(2025)

    • DOI：10.37188/OPE.20253316.2649    

      CLC： TP394.1
    • CSTR：32169.14.OPE.20253316.2649    

    • Received：20 February 2025，

      Revised：2025-05-03，

      Published：25 August 2025

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  • HUANG Jinjie,MA Yuanxue.Optimizing vision transformer for melanoma classification： integration of feature selection and InfoNCE loss[J].Optics and Precision Engineering,2025,33(16):2649-2660. DOI： 10.37188/OPE.20253316.2649. CSTR： 32169.14.OPE.20253316.2649.

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