Automated interpretation and analysis of bronchoalveolar lavage fluid.

Journal: International journal of medical informatics
PMID: 34775213

Abstract

BACKGROUND: The cytological analysis of bronchoalveolar lavage fluid (BALF) plays an essential role in the differential diagnosis of respiratory diseases. In recent years, deep learning has demonstrated excellent performance in image processing and object recognition.

Authors

  • Yi Tao
    Center of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing 100193, China; Medical School of Chinese PLA, Beijing 100083, China.
  • Yu Cai
    Student Innovation Center, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Han Fu
    Center of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing 100193, China.
  • Licheng Song
    Center of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing 100193, China.
  • Lixin Xie
    Department of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
  • Kaifei Wang
    The General Hospital of the People's Liberation Army of China, Beijing, China.

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