Impact of Gold-Standard Label Errors on Evaluating Performance of Deep Learning Models in Diabetic Retinopathy Screening: Nationwide Real-World Validation Study

BackgroundFor medical artificial intelligence (AI) training and validation, human expert labels are considered the gold standard that represents the correct answers or desired outputs for a given data set. These labels serve as a reference or benchmark against which the model...

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Bibliographic Details

Published in:	Journal of Medical Internet Research
Main Authors:	Yueye Wang, Xiaotong Han, Cong Li, Lixia Luo, Qiuxia Yin, Jian Zhang, Guankai Peng, Danli Shi, Mingguang He
Format:	Article
Language:	English
Published:	JMIR Publications 2024-08-01
Online Access:	https://www.jmir.org/2024/1/e52506