Your browser doesn't support javascript.
loading
Image harmonization and deep learning automated classification of plus disease in retinopathy of prematurity.
Subramaniam, Ananya; Orge, Faruk; Douglass, Michael; Can, Basak; Monteoliva, Guillermo; Fried, Evelin; Schbib, Vanina; Saidman, Gabriela; Peña, Brenda; Ulacia, Soledad; Acevedo, Pedro; Rollins, Andrew M; Wilson, David L.
Affiliation
  • Subramaniam A; Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.
  • Orge F; Case Medical Center University Hospitals, Department of Ophthalmology, Cleveland, Ohio, United States.
  • Douglass M; Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.
  • Can B; Case Medical Center University Hospitals, Department of Ophthalmology, Cleveland, Ohio, United States.
  • Monteoliva G; Hospital Italiano de San Justo Agustin Rocca, Buenos Aires, Argentina.
  • Fried E; Hospital Italiano de San Justo Agustin Rocca, Buenos Aires, Argentina.
  • Schbib V; Hospital de Niños Sor Maria Ludovica, Buenos Aires, Argentina.
  • Saidman G; Hospital Evita Pueblo de Berazategui, Buenos Aires, Argentina.
  • Peña B; Centro Integral de Salud Visual Daponte, Buenos Aires, Argentina.
  • Ulacia S; Mineserio de Salud Argentina, Ministry of Public Works Building, Buenos Aires, Argentina.
  • Acevedo P; Fundación Oftalmológica Nacional, Bogotá, Colombia.
  • Rollins AM; Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.
  • Wilson DL; Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.
J Med Imaging (Bellingham) ; 10(6): 061107, 2023 Nov.
Article in En | MEDLINE | ID: mdl-37794884

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Med Imaging (Bellingham) Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Med Imaging (Bellingham) Year: 2023 Document type: Article Affiliation country: Country of publication: