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Brain image segmentation of the corpus callosum by combining Bi-Directional Convolutional LSTM and U-Net using multi-slice CT and MRI.
Wong, Kelvin K L; Xu, Wanni; Ayoub, Muhammad; Fu, You-Lei; Xu, Huasen; Shi, Ruizheng; Zhang, Mu; Su, Feng; Huang, Zhiguo; Chen, Weimin.
Afiliação
  • Wong KKL; School of Information and Electronics, Hunan City University, Yiyang 413000, China. Electronic address: Kelvin.wong@hncu.edu.cn.
  • Xu W; College of Technology and Engineering, National Taiwan Normal University, Taipei 106, Taiwan; Department of Computer Information Engineering, Nanchang Institute of Technology, Nanchang 330044, China. Electronic address: 80760017t@ntnu.edu.tw.
  • Ayoub M; School of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, China.
  • Fu YL; College of Technology and Engineering, National Taiwan Normal University, Taipei 106, Taiwan; Department of Computer Information Engineering, Nanchang Institute of Technology, Nanchang 330044, China.
  • Xu H; Department of Civil Engineering, Shanghai Normal University, Shanghai 201418, China.
  • Shi R; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
  • Zhang M; Department of Emergency, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
  • Su F; Department of Emergency, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
  • Huang Z; Department of Emergency, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
  • Chen W; School of Information and Electronics, Hunan City University, Yiyang 413000, China.
Comput Methods Programs Biomed ; 238: 107602, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37244234

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Corpo Caloso Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Corpo Caloso Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article