Self-assessment for optic disc segmentation

Self-assessment for optic disc segmentation
Title:
Self-assessment for optic disc segmentation
Other Titles:
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
DOI:
10.1109/EMBC.2013.6610885
Keywords:
Publication Date:
03 July 2013
Citation:
Jun Cheng; Jiang Liu; Fengshou Yin; Beng-Hai Lee; Wong, D.W.K.; Tin Aung; Ching-Yu Cheng; Tien Yin Wong, "Self-assessment for optic disc segmentation," Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE , vol., no., pp.5861,5864, 3-7 July 2013 doi: 10.1109/EMBC.2013.6610885
Abstract:
Optic disc segmentation from retinal fundus image is a fundamental but important step in many applications such as automated glaucoma diagnosis. Very often, one method might work well on many images but fail on some other images and it is difficult to have a single method or model to cover all scenarios. Therefore, it is important to combine results from several methods to minimize the risk of failure. For this purpose, this paper computes confidence scores for three methods and combine their results for an optimal one. The experimental results show that the combined result from three methods is better than the results by any individual method. It reduces the mean overlapping error by 7.4% relatively compared with best individual method. Simultaneously, the number of failed cases with large overlapping errors is also greatly reduced. This is important to enhance the clinical deployment of the automated disc segmentation.
License type:
PublisherCopyrights
Funding Info:
Description:
ISSN:
1557-170X
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