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Reliable Evaluation of Performance Level for Computer-aided Diagnostic Scheme

机译:计算机辅助诊断方案性能水平的可靠评估

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摘要

Computer-aided diagnostic (CAD) schemes have been developed for assisting radiologists in the detection of various lesions in medical images. The reliable evaluation of CAD schemes is an important task in the field of CAD research. In the past, many evaluation approaches, such as the resubstitution, leave-one-out, cross-valiation, hold-out, and bootstrap methods have been proposed for evaluating the performance of various CAD schemes. However, some important issues in the evaluation of CAD schemes have not been systematically analyzed, either theoretically or experimentally. The first important issue is the analysis and comparison of various evaluation methods in terms of some characteristics, in particular, the bias and the generalization performance of the trained CAD schemes. The second includes the analysis of pitfalls in the incorrect use of various evaluation methods and the effective approaches to the reduction of the bias and variance caused by these pitfalls. We attempt to address the first important issue in details in this article, and to discuss the second issue in the Discussion section. We believe that this article would be useful to researchers in the field of CAD research for selecting appropriate evluation methods and for improving the reliability of the estimated performance of their CAD schemes.
机译:已经开发了计算机辅助诊断(CAD)方案,以协助放射科医生检测医学图像中的各种病变。 CAD方案的可靠评估是CAD研究领域中的重要任务。过去,已经提出了许多评估方法,例如重新替换,留一法,交叉评估,保留法和自举法,以评估各种CAD方案的性能。但是,无论是从理论上还是从实验上,都没有系统地分析CAD方案评估中的一些重要问题。第一个重要问题是根据某些特征,尤其是经过训练的CAD方案的偏差和概括性能,对各种评估方法进行分析和比较。第二部分包括对各种评估方法使用不当的陷阱的分析,以及减少由这些陷阱引起的偏差和方差的有效方法。我们试图在本文中详细解决第一个重要问题,并在“讨论”部分中讨论第二个问题。我们认为,这篇文章对CAD研究领域的研究人员来说非常有用,可以选择合适的评估方法并提高其CAD方案估计性能的可靠性。

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