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Multi-task generative adversarial network for retinal optical coherence tomography image denoising.
Xie, Qiaoxue; Ma, Zongqing; Zhu, Lianqing; Fan, Fan; Meng, Xiaochen; Gao, Xinxiao; Zhu, Jiang.
Afiliação
  • Xie Q; Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing 100192, People's Republic of China.
  • Ma Z; Beijing Laboratory of Biomedical Testing Technology and Instruments, Beijing Information Science and Technology University, Beijing 100192, People's Republic of China.
  • Zhu L; Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing 100192, People's Republic of China.
  • Fan F; Beijing Laboratory of Biomedical Testing Technology and Instruments, Beijing Information Science and Technology University, Beijing 100192, People's Republic of China.
  • Meng X; Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing 100192, People's Republic of China.
  • Gao X; Beijing Laboratory of Biomedical Testing Technology and Instruments, Beijing Information Science and Technology University, Beijing 100192, People's Republic of China.
  • Zhu J; Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing 100192, People's Republic of China.
Phys Med Biol ; 68(4)2023 02 03.
Article em En | MEDLINE | ID: mdl-36137542
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Tomografia de Coerência Óptica Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Tomografia de Coerência Óptica Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2023 Tipo de documento: Article