Statistical framework for validation without ground truth of choroidal thickness changes detection.

ABSTRACT: 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 w

SUBMITTER: Ronchetti T 

PROVIDER: S-EPMC6599222 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature