QR-Code

Development and validation of an automated machine learning model for the multi-class classification of diabetic retinopathy, central retinal vein occlusion and branch retinal vein occlusion based on color fundus photographs

Introduction: Automated machine learning (AutoML) is a novel artificial intelligence (AI) strategy that enables clinicians without coding experience to develop their own AI models. This study assessed the discriminative performance of AutoML in differentiating diabetic retinopathy (DR), central reti...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Carolyn Yu Tung Wong, Timing Liu, Tin Lik Wong, Justin Man Kit Tong, Henry Hing Wai Lau, Pearse Andrew Keane
Format: Artigo
Sprache:Inglês
Veröffentlicht: Elsevier 2024-09-01
Schriftenreihe:JFO Open Ophthalmology
Schlagworte:
Automated machine learning
Artificial intelligence
Diabetic retinopathy
Central retinal vein occlusion
Branch retinal vein occlusion
Online-Zugang:http://www.sciencedirect.com/science/article/pii/S2949889924000412
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!

Ähnliche Einträge