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DLGNet: A dual-branch lesion-aware network with the supervised Gaussian Mixture model for colon lesions classification in colonoscopy images.
Wang, Kai-Ni; Zhuang, Shuaishuai; Ran, Qi-Yong; Zhou, Ping; Hua, Jie; Zhou, Guang-Quan; He, Xiaopu.
Affiliation
  • Wang KN; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China; Jiangsu Key Laboratory of Biomaterials and Devices, Southeast University, Nanjing, China.
  • Zhuang S; The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Ran QY; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China; Jiangsu Key Laboratory of Biomaterials and Devices, Southeast University, Nanjing, China.
  • Zhou P; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China; Jiangsu Key Laboratory of Biomaterials and Devices, Southeast University, Nanjing, China.
  • Hua J; The First Affiliated Hospital of Nanjing Medical University, Nanjing, China; Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital, Liyang, China.
  • Zhou GQ; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China; Jiangsu Key Laboratory of Biomaterials and Devices, Southeast University, Nanjing, China. Electronic address: guangqu
  • He X; The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. Electronic address: help_007@126.com.
Med Image Anal ; 87: 102832, 2023 07.
Article in En | MEDLINE | ID: mdl-37148864
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colonoscopy / Colon Type of study: Guideline Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Type: Article Affiliation country: China
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colonoscopy / Colon Type of study: Guideline Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Type: Article Affiliation country: China