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预测COPD疾病严重程度:一种基于异常的深度学习方法,用于对胸部CT进行量化评估

Silvia D Almeida1,2,3,4, Tobias Norajitra5,6, Carsten T Lüth7,8

  • 1Division of Medical Image Computing, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany. silvia.diasalmeida@dkfz-heidelberg.de.

European radiology
|December 27, 2023
PubMed
概括

一种新的深度学习异常检测方法可以在胸部CT扫描上识别慢性阻塞性肺病 (COPD). 这种方法可以准确预测疾病的严重程度和临床结果,优于传统方法.

关键词:
人工智能的人工智能是人工智能.慢性阻塞性肺病是一种慢性阻塞性肺病.计算机断层扫描 (CT) 是一种计算机断层扫描.深度学习是一种深度学习.

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