Cargando…
Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age‐related macular degeneration
PURPOSE: To validate the performance of a commercially available, CE‐certified deep learning (DL) system, RetCAD v.1.3.0 (Thirona, Nijmegen, The Netherlands), for the joint automatic detection of diabetic retinopathy (DR) and age‐related macular degeneration (AMD) in colour fundus (CF) images on a d...
Autores principales: | González‐Gonzalo, Cristina, Sánchez‐Gutiérrez, Verónica, Hernández‐Martínez, Paula, Contreras, Inés, Lechanteur, Yara T., Domanian, Artin, van Ginneken, Bram, Sánchez, Clara I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318689/ https://www.ncbi.nlm.nih.gov/pubmed/31773912 http://dx.doi.org/10.1111/aos.14306 |
Ejemplares similares
-
Risk factors for progression of age‐related macular degeneration
por: Heesterbeek, Thomas J, et al.
Publicado: (2020) -
Nutritional Risk Factors for Age-Related Macular Degeneration
por: Ersoy, Lebriz, et al.
Publicado: (2014) -
Corrigendum to “Nutritional Risk Factors for Age-Related Macular Degeneration”
por: Ersoy, Lebriz, et al.
Publicado: (2016) -
Genetic Risk in Families with Age-Related Macular Degeneration
por: de Breuk, Anita, et al.
Publicado: (2021) -
Combined automated screening for age-related macular degeneration and diabetic retinopathy in primary care settings
por: Bhuiyan, Alauddin, et al.
Publicado: (2021)