Enhancing the Accuracy of Skin Lesion Diagnosis Using Hyperspectral Imaging and Deep Learning.

Journal: Journal of biophotonics
Published Date: Jun 12, 2025

Abstract

This study presents a novel diagnostic approach that integrates hyperspectral imaging (HSI) with deep learning to discriminate among dermatitis, actinic keratosis (AK), and seborrheic keratosis (SK). We evaluated 60 intraoperative clinical specimens and achieved 93% accuracy, 91% sensitivity, and 95% specificity in three-class classification. A Savitzky-Golay filter was applied to the raw spectra to enhance the signal-to-noise ratio and data fidelity, while first-derivative spectral analysis enabled the model to capture subtle biochemical and morphological differences among lesions. Our results demonstrate that the combined HSI-deep-learning framework can accelerate dermatologic diagnosis and reduce error rates. This methodology not only provides a robust tool for clinical decision support in dermatology but also holds promise for wider adoption across medical imaging workflows. Future work will focus on scalability, cost-benefit optimization, and seamless integration with existing diagnostic platforms.

Authors

  • Huiwen Zheng
    School of Engineering, University of Melbourne, Victoria 3010, Australia.
  • Yunqing Ren
    National Clinical Research Center for Child Health, National Children's Regional Medical Center, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Lijuan Yu
    Center of PET/CT, The Third Affiliated Hospital of Harbin Medical University, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China. Electronic address: yulijuan2003@126.com.
  • Zhenying Cai
    National Clinical Research Center for Child Health, National Children's Regional Medical Center, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Xin Xia
    Spencer Center for Vision Research, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, California.
  • Guoqiang Qi
    The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Chen Shen
    Department of Foreign Languages, Xi'an Jiaotong University City College, Xi'an, China.

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