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's predictions are...
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Main Authors: | Yueye Wang (Author), Xiaotong Han (Author), Cong Li (Author), Lixia Luo (Author), Qiuxia Yin (Author), Jian Zhang (Author), Guankai Peng (Author), Danli Shi (Author), Mingguang He (Author) |
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Format: | Book |
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JMIR Publications,
2024-08-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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