advertisement
Abstract #54820 Published in IGR 15-3
Self-assessment for optic disc segmentation
Cheng J; Liu J; Yin F; Lee BH; Wong DW; Aung T; Cheng CY; Wong TYConference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2013; 2013: 5861-5864
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.
Full article
Classification:
2.14 Optic disc (Part of: 2 Anatomical structures in glaucoma)
15 Miscellaneous
6.9.5 Other (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis)
