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深度学习赋能孕期超声筛查:胎儿脑部异常检测系统发展成果
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一项国际多中心研究开发了基于人工智能的两阶段深度学习管道,用于自动检测妊娠中期常规超声中的胎儿脑部异常,在独立测试集上实现了0.96的诊断价值,显示出作为临床筛查辅助工具的潜力。
Original paper: Development of an Integrated Deep Learning Approach for Detecting Fetal Brain Abnormalities in Routine Second Trimester Ultrasound Scan: A Multicenter Study. — Radiology. Artificial intelligence. 10.1148/ryai.250737




