The design and application of an automated microscope developed based on deep learning for fungal detection in dermatology.

Journal: Mycoses
PMID: 33174310

Abstract

BACKGROUND: Light microscopy to study the infection of fungi in skin specimens is time-consuming and requires automation.

Authors

  • Wenchao Gao
    The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Meirong Li
    The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Rong Wu
    Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Weian Du
    The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Shanlin Zhang
    Guangzhou Wangsheng Intelligent Technology Co., Ltd., Guangzhou, China.
  • Songchao Yin
    The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Zhirui Chen
    The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Huaiqiu Huang
    The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

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