Selected article for: "chest CT and deep learning"
Author: Min Zhou; Yong Chen; Dexiang Wang; Yanping Xu; Weiwu Yao; Jingwen Huang; Xiaoyan Jin; Zilai Pan; Jingwen Tan; Lan Wang; Yihan Xia; Longkuan Zou; Xin Xu; Jingqi Wei; Mingxin Guan; Jianxing Feng; Huan Zhang; Jieming Qu
Title: Improved deep learning model for differentiating novel coronavirus pneumonia and influenza pneumonia
  • Document date: 2020_3_30
    • ID: ilc2bzkx_5
    Snippet: The problem could be alleviated by deep learning, a technique that has witnessed striking advances in healthcare applications (9, 10) . It could achieve expert-level performance in medical image analysis with minimal time and labor cost, like detection of diabetic retinopathy and classification of skin cancer (11, 12) . Deep learning is also widely used to automatically detect pneumonia based on chest X-ray images (13, 14) , and discriminate usua.....
    Document: The problem could be alleviated by deep learning, a technique that has witnessed striking advances in healthcare applications (9, 10) . It could achieve expert-level performance in medical image analysis with minimal time and labor cost, like detection of diabetic retinopathy and classification of skin cancer (11, 12) . Deep learning is also widely used to automatically detect pneumonia based on chest X-ray images (13, 14) , and discriminate usual interstitial pneumonia from nonspecific interstitial pneumonia based on chest CT images (15) .

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