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首页> 外文会议>IEEE Portuguese Meeting in Bioengineering >Analysis of the performance of specialists and an automatic algorithm in retinal image quality assessment
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Analysis of the performance of specialists and an automatic algorithm in retinal image quality assessment

机译：视网膜图像质量评估专家的性能分析和自动算法

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摘要

This study describes a novel dataset with retinal image quality annotation, defined by three different retinal experts, and presents an inter-observer analysis for quality assessment that can be used as gold-standard for future studies. A state-of-the-art algorithm for retinal image quality assessment is also analysed and compared against the specialists performance. Results show that, for 71% of the images present in the dataset, the three experts agree on the given image quality label. The results obtained for accuracy, specificity and sensitivity when comparing one expert against another were in the ranges [83.0-85.2]%, [72.7-92.9]% and [80.0-94.7]%, respectively. The evaluated automatic quality assessment method, despite not being trained on the novel dataset, presents a performance which is within inter-observer variability.
机译：这项研究描述了由三位不同的视网膜专家定义的具有视网膜图像质量注释的新型数据集，并提出了一种用于质量评估的观察者间分析，该分析可用作未来研究的金标准。还分析了用于视网膜图像质量评估的最新算法，并将其与专家的表现进行比较。结果表明，对于数据集中存在的71％的图像，三位专家都同意给定的图像质量标签。将一位专家与另一位专家进行比较时，获得的准确性，特异性和敏感性结果分别在[83.0-85.2]％，[72.7-92.9]％和[80.0-94.7]％范围内。尽管没有在新颖的数据集上进行训练，但是经过评估的自动质量评估方法呈现出的性能在观察者间的可变性之内。

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