Unbiased confidence measures for stroke risk estimation based on ultrasound carotid image analysis
作者: Harris PapadopoulosEfthyvoulos KyriacouAndrew Nicolaides
作者单位: 1Frederick University
2Imperial College London
3Vascular Noninvasive Screening and Diagnostic Centre
4Cyprus CDER Trust
刊名: Neural Computing and Applications, 2017, Vol.28 (6), pp.1209-1223
来源数据库: Springer Nature Journal
DOI: 10.1007/s00521-016-2590-3
关键词: Conformal predictionClass imbalanceConfidence measuresStroke risk assessmentPlaque imagingComputer-aided diagnosisUltrasound image analysis
英文摘要: We propose an approach for providing well-calibrated confidence measures for determining cerebrovascular risk stratification based on characteristics from noninvasive ultrasound imaging of carotid plaques. An important challenge we address is the class imbalance problem inherent in the particular task. The proposed approach is based on a novel framework, called conformal prediction (CP), for developing techniques that output sets of predictions guaranteed to contain the true classification of a new case with a prespecified probability. We follow a modified version of the CP framework, called Label-conditional Mondrian conformal prediction (LCMCP), so that the guarantee provided by CP does not only hold for all instances together, but also hold for the instances of each class...
原始语种摘要: We propose an approach for providing well-calibrated confidence measures for determining cerebrovascular risk stratification based on characteristics from noninvasive ultrasound imaging of carotid plaques. An important challenge we address is the class imbalance problem inherent in the particular task. The proposed approach is based on a novel framework, called conformal prediction (CP), for developing techniques that output sets of predictions guaranteed to contain the true classification of a new case with a prespecified probability. We follow a modified version of the CP framework, called Label-conditional Mondrian conformal prediction (LCMCP), so that the guarantee provided by CP does not only hold for all instances together, but also hold for the instances of each class...
全文获取路径: Springer Nature  (合作)
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来源刊物:
影响因子:1.168 (2012)

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关键词翻译
关键词翻译
  • ultrasound 超声
  • carotid 颈动脉
  • stroke 笔划
  • imaging 图像形成
  • confidence 信用
  • measures 层组
  • assessment 评价
  • image 
  • based 基于
  • analysis 分析