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  1. Multimodal Sparse Representation-Based Classification for Lung Needle Biopsy Images

  2. Lung needle biopsy image classification is a critical task for computer-aided lung cancer diagnosis. In this study, a novel method, multimodal sparse representation-based classification (mSRC), is proposed for classifying lung needle biopsy images. I
  3. 所属分类:其它

    • 发布日期:2021-02-21
    • 文件大小:1048576
    • 提供者:weixin_38593380