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Deep learning based de-overlapping correction of projections from a flat-panel micro array X-ray source: Simulation study.
Li, Xu; Huang, Shuang; Pan, Zengxiang; Qin, Peishan; Wu, Wangjiang; Qi, Mengke; Ma, Jianhui; Kang, Song; Chen, Jun; Zhou, Linghong; Xu, Yuan; Qin, Genggeng.
Afiliação
  • Li X; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
  • Huang S; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
  • Pan Z; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
  • Qin P; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
  • Wu W; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
  • Qi M; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
  • Ma J; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
  • Kang S; State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510515, China.
  • Chen J; State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510515, China.
  • Zhou L; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. Electronic address: smart@smu.edu.cn.
  • Xu Y; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. Electronic address: yuanxu@smu.edu.cn.
  • Qin G; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China. Electronic address: zealotq@smu.edu.cn.
Phys Med ; 111: 102607, 2023 Jul.
Article em En | MEDLINE | ID: mdl-37210964
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada de Feixe Cônico / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Idioma: En Revista: Phys Med Assunto da revista: BIOFISICA / BIOLOGIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada de Feixe Cônico / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Idioma: En Revista: Phys Med Assunto da revista: BIOFISICA / BIOLOGIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China