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直接比较多个计算机辅助的多体检测系统.

Joel Troya1,2, Boban Sudarevic1,3, Adrian Krenzer4

  • 1Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany.

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此摘要是机器生成的。

人工智能 (AI) 计算机辅助检测 (CADe) 系统对多重体的性能各不相同. 临床医生可以使用这种比较来选择最适合自己的AI CADe系统.

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科学领域:

  • 医学成像分析分析 医学成像分析
  • 医疗保健中的人工智能
  • 胃肠病学技术的技术.

背景情况:

  • 人工智能 (AI) 系统用于计算机辅助检测 (CADe) 的息肉定期更新,影响性能.
  • 在AI CADe系统中可定制的检测值也会影响其有效性.
  • 关于这些更新和设置如何影响AI CADe系统性能的数据有限.

研究的目的:

  • 使用标准化的基准数据集来比较不同AI CADe系统的性能.
  • 评估系统更新和配置模式对聚合物检测率的影响.

主要方法:

  • 用101个结肠镜视频作为基准数据集.
  • 从视频中手动注释了129705个多图像.
  • 在各种条件下使用三个不同的AI CADe系统 (GI Genius,Endo-AID,EndoMind) 分析视频.

主要成果:

  • 末端AID型A,早期GI天才和EndoMind检测到所有93个多.
  • 晚期的GI天才和Endo-AID类型B错过了每个一个息肉.
  • 每的灵敏度在系统和版本之间从50.63%到67.85%不等.

结论:

  • 该研究强调了不同AI CADe系统,版本和配置之间的性能差异.
  • 这些发现可以帮助临床医生选择最适合特定临床应用的AI CADe系统.