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MCNet: A multi-level context-aware network for the segmentation of adrenal gland in CT images.
Li, Jinhao; Li, Huying; Zhang, Yuan; Wang, Zhiqiang; Zhu, Sheng; Li, Xuanya; Hu, Kai; Gao, Xieping.
Afiliación
  • Li J; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan 411105, China.
  • Li H; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan 411105, China.
  • Zhang Y; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan 411105, China.
  • Wang Z; Key Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province, Xiangnan University, Chenzhou 423000, China; College of Medical Imaging Laboratory and Rehabilitation, Xiangnan University, Chenzhou 423000, China. Electronic address: wangzhiqiang9725@163.com.
  • Zhu S; Department of Nuclear Medicine, Affiliated Hospital of Xiangnan University, Chenzhou 423000, China.
  • Li X; Baidu Inc., Beijing 100085, China.
  • Hu K; Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan 411105, China; Key Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province, Xiangnan University, Chenzhou 423000, China. Electronic address: kaihu@xtu.edu.cn
  • Gao X; Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha 410081, China.
Neural Netw ; 170: 136-148, 2024 Feb.
Article en En | MEDLINE | ID: mdl-37979222
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diagnóstico por Computador / Glándulas Suprarrenales Idioma: En Revista: Neural Netw Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diagnóstico por Computador / Glándulas Suprarrenales Idioma: En Revista: Neural Netw Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China