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Automatic Visual Acuity Estimation by Means of Computational Vascularity Biomarkers Using Oct Angiographies.
Díaz, Macarena; Díez-Sotelo, Marta; Gómez-Ulla, Francisco; Novo, Jorge; Penedo, Manuel Francisco G; Ortega, Marcos.
Affiliation
  • Díaz M; Grupo VARPA, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña, 15006 A Coruña, Spain. macarena.diaz1@udc.es.
  • Díez-Sotelo M; Centro de Investigación CITIC, Universidade da Coruña, 15071 A Coruña, Spain. macarena.diaz1@udc.es.
  • Gómez-Ulla F; Complejo Hospitalario Universitario de Santiago, 15706 Santiago de Compostela, Spain. martads_2@hotmail.com.
  • Novo J; Complejo Hospitalario Universitario de Santiago, 15706 Santiago de Compostela, Spain. franciscogomez-ulla@institutogomez-ulla.es.
  • Penedo MFG; Instituto Oftalmológico Gómez-Ulla, 15706 Santiago de Compostela, Spain. franciscogomez-ulla@institutogomez-ulla.es.
  • Ortega M; Grupo VARPA, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña, 15006 A Coruña, Spain. jnovo@udc.es.
Sensors (Basel) ; 19(21)2019 Oct 31.
Article in En | MEDLINE | ID: mdl-31683559
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Vessels / Angiography / Biomarkers / Visual Acuity / Tomography, Optical Coherence Limits: Humans Language: En Journal: Sensors (Basel) Year: 2019 Document type: Article Affiliation country: Spain Country of publication: Switzerland
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Vessels / Angiography / Biomarkers / Visual Acuity / Tomography, Optical Coherence Limits: Humans Language: En Journal: Sensors (Basel) Year: 2019 Document type: Article Affiliation country: Spain Country of publication: Switzerland