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黄金标准标签错误对深度学习模型在糖尿病视网膜病症查中的性能评估的影响:全国真实世界验证研究

Yueye Wang1,2, Xiaotong Han1, Cong Li1

  • 1State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.

Journal of medical Internet research
|August 14, 2024
PubMed
概括

糖尿病视网膜病变 (DR) 查中的人类标签错误显著影响人工智能 (AI) 绩效评估. 在全国范围的程序中纠正这些错误使深度学习算法的灵敏度提高了12.5%.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.糖尿病 糖尿病患者 糖尿病患者糖尿病视网膜病变 糖尿病视网膜病变现实世界的真实世界.

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