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CBMS
2008
IEEE

Web-Based Multi-Observer Segmentation Evaluation Tool

10 years 2 months ago
Web-Based Multi-Observer Segmentation Evaluation Tool
Multi-observer segmentation evaluation is useful in the imaging community. We have developed a web-based software application for automatic performance evaluation of multiple image segmentations, based on the Baysian Decision framework. It computes a probabilistic estimate of the true segmentation (ground truth map) and performance measures for the individual segmentations (sensitivity and specificity). The strength of the tool is that it integrates two kinds of prior knowledge about segmentations: the truth prior (the prior probability of different segmentations) and the observer prior (the performance measures of observers), which can generate more accurate evaluations.
Yaoyao Zhu, Xiaolei Huang, Daniel P. Lopresti, L.
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CBMS
Authors Yaoyao Zhu, Xiaolei Huang, Daniel P. Lopresti, L. Rodney Long, Sameer Antani, Zhiyun Xue, George R. Thoma
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