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Dokumenttyp:
journal article 
Autor(en):
Prahs, Philipp; Radeck, Viola; Mayer, Christian; Cvetkov, Yordan; Cvetkova, Nadezhda; Helbig, Horst; Märker, David 
Titel:
OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications. 
Abstract:
Intravitreal injections with anti-vascular endothelial growth factor (anti-VEGF) medications have become the standard of care for their respective indications. Optical coherence tomography (OCT) scans of the central retina provide detailed anatomical data and are widely used by clinicians in the decision-making process of anti-VEGF indication. In recent years, significant progress has been made in artificial intelligence and computer vision research. We trained a deep convolutional artificial ne...    »
 
Zeitschriftentitel:
Graefes Arch Clin Exp Ophthalmol 
Jahr:
2018 
Band / Volume:
256 
Heft / Issue:
Seitenangaben Beitrag:
91-98 
Sprache:
eng 
Print-ISSN:
0721-832X 
TUM Einrichtung:
Augenklinik und Poliklinik