Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers

To determine whether topographical measurements of the parapapillary region analyzed by machine learning classifiers can detect early to moderate glaucoma better than similarly processed measurements obtained within the disc margin and to improve methods for optimization of machine learning classifi...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Investigative ophthalmology & visual science 2004-09, Vol.45 (9), p.3144-3151
Hauptverfasser:	Zangwill, Linda M, Chan, Kwokleung, Bowd, Christopher, Hao, Jicuang, Lee, Te-Won, Weinreb, Robert N, Sejnowski, Terrence J, Goldbaum, Michael H
Format:	Artikel
Sprache:	eng
Schlagworte:	Area Under Curve Artificial Intelligence Biological and medical sciences Discriminant Analysis Glaucoma - pathology Glaucoma and intraocular pressure Humans Medical sciences Microscopy, Confocal Normal Distribution Ophthalmology Ophthalmoscopy Optic Disk - pathology Retina - pathology ROC Curve
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!