Predicting Systemic Health Features from Retinal Fundus Images Using Transfer-Learning-Based Artificial Intelligence Models

While color fundus photos are used in routine clinical practice to diagnose ophthalmic conditions, evidence suggests that ocular imaging contains valuable information regarding the systemic health features of patients. These features can be identified through computer vision techniques including dee...

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Detalles Bibliográficos
Autores principales: Khan, Nergis C., Perera, Chandrashan, Dow, Eliot R., Chen, Karen M., Mahajan, Vinit B., Mruthyunjaya, Prithvi, Do, Diana V., Leng, Theodore, Myung, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322827/
https://www.ncbi.nlm.nih.gov/pubmed/35885619
http://dx.doi.org/10.3390/diagnostics12071714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322827/
https://www.ncbi.nlm.nih.gov/pubmed/35885619
http://dx.doi.org/10.3390/diagnostics12071714

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