[Deep learning to support therapy decisions for intravitreal injections]. / Deep Learning zur Unterstützung der Therapieentscheidung bei intravitrealen Injektionen.
Ophthalmologe
; 115(9): 722-727, 2018 Sep.
Article
en De
| MEDLINE
| ID: mdl-29713804
Significant progress has been made in artificial intelligence and computer vision research in recent years. Machine learning methods excel in a wide variety of tasks where sufficient data are available. We describe the application of a deep convolutional neural network for the prediction of treatment indication with anti-vascular endothelial growth factor (VEGF) medications based on central retinal optical coherence tomography (OCT) scans. The neural network classifier was trained with OCT images acquired during routine treatment at the University of Regensburg over the years 2008-2016. In over 95% of the cases the treatment indication was accurately predicted based on a singular OCT B scan without human intervention. Despite promising classification the results of deep learning techniques, should always be controlled by the treating physician because false classification can never be excluded due to the probabilistic nature of the method.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Aprendizaje Profundo
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
De
Revista:
Ophthalmologe
Asunto de la revista:
OFTALMOLOGIA
Año:
2018
Tipo del documento:
Article
Pais de publicación:
Alemania