Acne detection and severity evaluation with interpretable convolutional neural network models.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
PMID: 35124592

Abstract

BACKGROUND: Acne vulgaris is one of the most prevalent skin conditions, which harms not only the patients' physiological conditions, but also their mental health. Early diagnosis and accurate continuous self-monitoring could help control and alleviate their discomfort.

Authors

  • Hao Wen
  • Wenjian Yu
    Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China.
  • Yuanqing Wu
    Beijing Jingdong Shangke Information Technology Co., Ltd, Beijing, China.
  • Jun Zhao
  • Xiaolong Liu
    The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, People's Republic of China.
  • Zhexiang Kuang
    Beijing Jingdong Shangke Information Technology Co., Ltd, Beijing, China.
  • Rong Fan
    National Clinical Research Center of Kidney Disease, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.

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