Statistical framework for validation without ground truth of choroidal thickness changes detection
Statistical framework for validation without ground truth of choroidal thickness changes detection
复制标题
在没有脉络膜厚度变化检测的基本事实的情况下进行验证的统计框架
作者：
T. Ronchetti;C. Jud;P. Maloca;S. Orgül;A. Giger;C. Meier;H. Scholl;R. K. Chun;Quan Liu;C. To;B. Povazay;P. Cattin
监测人眼中细微的脉络膜厚度变化可以深入了解各种眼科疾病（如近视）的发病机制，并有助于制定治疗计划。然而，由于无法获得用于比较的地面实况，因此对探测性能进行全面评价具有挑战性。可替代地，可以通过对手动专家分割求平均来生成人工地面实况。这使得地面实况对由于专家的不同解释而引起的歧义非常敏感。为了规避这一限制，我们提出了一种新的验证方法，独立于地面真相，是唯一的算法和专家之间的共同协议的基础上。利用适当的指标，我们比较了几个评分员的联合协议与算法，并验证它对人工专家分割。为了说明这一点，我们进行了一项观察性研究，并评估了使用我们以前发表的基于注册的方法获得的结果。此外，我们提出了一个适应国家的最先进的评价方法，其中进行配对t检验后，离开了一个专家的结果在当时。对来自亚洲城市地区近视患病率较高的8至18岁健康受试者的90个OCT 3D体积堆叠对数据集进行自动和手动检测。
Monitoring subtle choroidal thickness changes in the human eye delivers insight into the pathogenesis of various ocular diseases such as myopia and helps planning their treatment. However, a thorough evaluation of detection-performance is challenging as a ground truth for comparison is not available. Alternatively, an artificial ground truth can be generated by averaging the manual expert segmentations. This makes the ground truth very sensitive to ambiguities due to different interpretations by the experts. In order to circumvent this limitation, we present a novel validation approach that operates independently from a ground truth and is uniquely based on the common agreement between algorithm and experts. Utilizing an appropriate index, we compare the joint agreement of several raters with the algorithm and validate it against manual expert segmentation. To illustrate this, we conduct an observational study and evaluate the results obtained using our previously published registration-based method. In addition, we present an adapted state-of-the-art evaluation method, where a paired t-test is carried out after leaving out the results of one expert at the time. Automated and manual detection were performed on a dataset of 90 OCT 3D-volume stack pairs of healthy subjects between 8 and 18 years of age from Asian urban regions with a high prevalence of myopia.
影响因子：
3.4
作者：
Summers JA
通讯作者：
Summers JA
影响因子：
4.2
作者：
Vuong VS;Moisseiev E;Cunefare D;Farsiu S;Moshiri A;Yiu G
通讯作者：
Yiu G