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Deep Learning-Based Segmentation of Airway Morphology from Endobronchial Optical Coherence Tomography.
Zhou, Zi-Qing; Guo, Zu-Yuan; Zhong, Chang-Hao; Qiu, Hui-Qi; Chen, Yu; Rao, Wan-Yuan; Chen, Xiao-Bo; Wu, Hong-Kai; Tang, Chun-Li; Su, Zhu-Quan; Li, Shi-Yue.
Afiliación
  • Zhou ZQ; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China, zhou.ziqing@foxmail.com.
  • Guo ZY; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Zhong CH; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Qiu HQ; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Chen Y; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Rao WY; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Chen XB; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Wu HK; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Tang CL; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Su ZQ; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Li SY; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Respiration ; 102(3): 227-236, 2023.
Article en En | MEDLINE | ID: mdl-36657427
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Asma / Enfermedad Pulmonar Obstructiva Crónica / Aprendizaje Profundo Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Respiration Año: 2023 Tipo del documento: Article Pais de publicación: Suiza
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Asma / Enfermedad Pulmonar Obstructiva Crónica / Aprendizaje Profundo Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Respiration Año: 2023 Tipo del documento: Article Pais de publicación: Suiza