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Multi-proportion channel ensemble model for retinal vessel segmentation.
Tang, Peng; Liang, Qiaokang; Yan, Xintong; Zhang, Dan; Coppola, Gianmarc; Sun, Wei.
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  • Tang P; College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China; National Engineering Laboratory for Robot Vision Perception and Control Technologies, Hunan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing, Changsha, 410082, China. Electronic ad
  • Liang Q; College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China; National Engineering Laboratory for Robot Vision Perception and Control Technologies, Hunan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing, Changsha, 410082, China. Electronic ad
  • Yan X; College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China; National Engineering Laboratory for Robot Vision Perception and Control Technologies, Hunan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing, Changsha, 410082, China. Electronic ad
  • Zhang D; Department of Mechanical Engineering, York University, Toronto, ON, M3J 1P3, Canada. Electronic address: dzhang99@yorku.ca.
  • Coppola G; Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, Ontario, L1H 7K4, Canada. Electronic address: Gianmarc.Coppola@uoit.ca.
  • Sun W; College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China; National Engineering Laboratory for Robot Vision Perception and Control Technologies, Hunan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing, Changsha, 410082, China. Electronic ad
Comput Biol Med ; 111: 103352, 2019 08.
Article en En | MEDLINE | ID: mdl-31301636
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vasos Retinianos / Interpretación de Imagen Asistida por Computador / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vasos Retinianos / Interpretación de Imagen Asistida por Computador / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2019 Tipo del documento: Article