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Rethinking the neighborhood information for deep learning-based optical coherence tomography angiography.
Jiang, Zhe; Huang, Zhiyu; You, Yunfei; Geng, Mufeng; Meng, Xiangxi; Qiu, Bin; Zhu, Lei; Gao, Mengdi; Wang, Jing; Zhou, Chuanqing; Ren, Qiushi; Lu, Yanye.
Afiliación
  • Jiang Z; Institute of Medical Technology, Peking University Health Science Center, Peking University, Beijing, China.
  • Huang Z; Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China.
  • You Y; Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, China.
  • Geng M; Institute of Biomedical Engineering, Shenzhen Bay Laboratory 5F, Shenzhen, China.
  • Meng X; Institute of Medical Technology, Peking University Health Science Center, Peking University, Beijing, China.
  • Qiu B; Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China.
  • Zhu L; Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, China.
  • Gao M; Institute of Biomedical Engineering, Shenzhen Bay Laboratory 5F, Shenzhen, China.
  • Wang J; Institute of Medical Technology, Peking University Health Science Center, Peking University, Beijing, China.
  • Zhou C; Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China.
  • Ren Q; Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, China.
  • Lu Y; Institute of Biomedical Engineering, Shenzhen Bay Laboratory 5F, Shenzhen, China.
Med Phys ; 49(6): 3705-3716, 2022 Jun.
Article en En | MEDLINE | ID: mdl-35306668
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tomografía de Coherencia Óptica / Aprendizaje Profundo Tipo de estudio: Guideline / Prognostic_studies Límite: Animals Idioma: En Revista: Med Phys Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tomografía de Coherencia Óptica / Aprendizaje Profundo Tipo de estudio: Guideline / Prognostic_studies Límite: Animals Idioma: En Revista: Med Phys Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos