Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion using machine learning

Vitreomacular adhesion (VMA) represents a prognostic biomarker in the management of exudative macular disease using anti-vascular endothelial growth factor (VEGF) agents. However, manual evaluation of VMA in 3D optical coherence tomography (OCT) is laborious and data on its impact on therapy of reti...

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Vydané v:	Scientific reports Ročník 7; číslo 1; s. 2928 - 11
Hlavní autori:	Waldstein, Sebastian M., Montuoro, Alessio, Podkowinski, Dominika, Philip, Ana-Maria, Gerendas, Bianca S., Bogunovic, Hrvoje, Schmidt-Erfurth, Ursula
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 07.06.2017 Nature Publishing Group Nature Portfolio
Predmet:	631/114/1564 692/308/575 692/700/1421 Adhesion Algorithms Angiogenesis Inhibitors - pharmacology Angiogenesis Inhibitors - therapeutic use Artificial intelligence Female Humanities and Social Sciences Humans Learning algorithms Machine Learning Macula Lutea - diagnostic imaging Macula Lutea - pathology Male Monoclonal antibodies multidisciplinary Occlusion Retina Retinal Vein Occlusion - diagnostic imaging Retinal Vein Occlusion - drug therapy Retinal Vein Occlusion - pathology Science Science (multidisciplinary) Segmentation Tissue Adhesions Tomography, Optical Coherence Treatment Outcome Vascular endothelial growth factor Vascular Endothelial Growth Factor A - antagonists & inhibitors Visual Acuity
ISSN:	2045-2322, 2045-2322
On-line prístup:	Získať plný text
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