A semi-automated machine-learning based workflow for ellipsoid zone analysis in eyes with macular edema: SCORE2 pilot study

To develop a semi-automated, machine-learning based workflow to evaluate the ellipsoid zone (EZ) assessed by spectral domain optical coherence tomography (SD-OCT) in eyes with macular edema secondary to central retinal or hemi-retinal vein occlusion in SCORE2 treated with anti-vascular endothelial g...

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Veröffentlicht in:	PloS one 2020-04, Vol.15 (4), p.e0232494-e0232494
Hauptverfasser:	Etheridge, Tyler, Dobson, Ellen T A, Wiedenmann, Marcel, Papudesu, Chandana, Scott, Ingrid U, Ip, Michael S, Eliceiri, Kevin W, Blodi, Barbara A, Domalpally, Amitha
Format:	Artikel
Sprache:	eng
Schlagworte:	Biology and Life Sciences Computer and Information Sciences Confidence intervals Correlation coefficient Correlation coefficients Data analysis Datasets Defects Diabetic retinopathy Digital imaging Edema Eye Eye (anatomy) Growth factors Laboratories Learning algorithms Machine learning Mathematical analysis Measurement methods Medical imaging Medicine Medicine and Health Sciences Methods Occlusion Open source software Optical Coherence Tomography Physical Sciences Public health Research and Analysis Methods Retina Science Policy Social Sciences Source code Thickness Tomography Vascular endothelial growth factor Workflow
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