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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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相关实验视频

Updated: Jul 28, 2025

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
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基于深度学习的多重体检测性能变化的来源

T N Tran1, T J Adler2, A Yamlahi2

  • 1Division of Intelligent Medical Systems, DKFZ, Heidelberg, Germany. t.tran@dkfz-heidelberg.de.

International journal of computer assisted radiology and surgery
|June 2, 2023
PubMed
概括

通常用于结肠癌查的验证指标缺乏临床相关性,并且显示出很高的可变性. 计算机视觉中的标准超参数不能确保临床上可信的结果,因此需要新的验证策略来对结肠镜中的深度学习进行验证.

关键词:
评价 评价 评价衡量指标 衡量指标 衡量指标 衡量指标对象检测检测对象检测对象检测手术数据科学手术数据科学验证 验证 验证 验证可变性的变化.

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科学领域:

  • 医疗成像医学成像
  • 计算机视觉 计算机视觉
  • 胃肠病学 胃肠病学

背景情况:

  • 可靠的验证指标对于科学进步和医学成像方法的临床翻译至关重要.
  • 现有的理论框架用于度量陷缺乏在特定应用中的实验验证.
  • 使用深度学习进行结肠癌查需要强大的评估策略.

研究的目的:

  • 解决关于结肠癌查验证验证指标陷的实验证据的差距.
  • 介绍结肠癌检测内镜计算机视觉挑战的获奖解决方案.
  • 展示常见指标对超参数的敏感性和不良指标选择的影响.

主要方法:

  • 分析了来自六个临床中心的患者数据.
  • 评估常用的物体检测指标.
  • 测试标准计算机视觉超参数的临床可信性.
  • 开发临床相关性的局部化标准.

主要成果:

  • 通常应用的物体检测指标表现出高的中心间变性.
  • 标准的计算机视觉超参数并不总是产生临床上可信的结果.
  • 新的局部化标准显示出与临床相关性的良好相关性.

结论:

  • 在聚合物检测中的性能结果对设计选择非常敏感.
  • 目前的度量配置往往无法满足临床需求,因为超参数低于最佳值.
  • 在数据集中比较性能可能会产生误导性,突出显示了基于深度学习的结肠镜检查中需要修改验证策略的需要.