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Hole-filling based on content loss indexed 3D partial convolution network for freehand ultrasound reconstruction.
Dong, Jiahui; Fu, Tianyu; Lin, Yucong; Deng, Qiaoling; Fan, Jingfan; Song, Hong; Cheng, Zhigang; Liang, Ping; Wang, Yongtian; Yang, Jian.
Afiliação
  • Dong J; Laboratory of Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
  • Fu T; Laboratory of Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China. Electronic address: 7520190010@bit.edu.cn.
  • Lin Y; Laboratory of Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; Institute of Engineering Medicine, Beijing Institute of Technology, Beijing 100081, China.
  • Deng Q; Laboratory of Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
  • Fan J; Laboratory of Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
  • Song H; School of Software, Beijing Institute of Technology, Beijing 100081, China.
  • Cheng Z; Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing 100853, China.
  • Liang P; Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing 100853, China.
  • Wang Y; Laboratory of Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
  • Yang J; Laboratory of Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China. Electronic address: jyang@bit.edu.cn.
Comput Methods Programs Biomed ; 211: 106421, 2021 Nov.
Article em En | MEDLINE | ID: mdl-34583228

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador Tipo de estudo: Clinical_trials / Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador Tipo de estudo: Clinical_trials / Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article