Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network.

Journal: The British journal of dermatology
Published Date: Mar 1, 2020

Abstract

BACKGROUND: Pioneering effort has been made to facilitate the recognition of pathology in malignancies based on whole-slide images (WSIs) through deep learning approaches. It remains unclear whether we can accurately detect and locate basal cell carcinoma (BCC) using smartphone-captured images.

Authors

  • Y Q Jiang
    Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • J H Xiong
    Beijing Tulip Partners Technology Co., Ltd, Beijing, China.
  • H Y Li
    Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, U.S.A.
  • X H Yang
    Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • W T Yu
    Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • M Gao
    Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • X Zhao
    Department of Animal Science, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada H9X 3V9.
  • Y P Ma
    Beijing Tulip Partners Technology Co., Ltd, Beijing, China.
  • W Zhang
    Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • Y F Guan
    Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, U.S.A.
  • H Gu
    Department of Physiotherapy, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.
  • J F Sun
    Department of Dermatopathology, Institute of Dermatology, Peking Union Medical College & Chinese Academy of Medical Sciences, Nanjing, 210042, China.

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