Robust Vessel Segmentation in Fundus Images
Friedrich-Alexander-Universität Erlangen-Nürnberg
Abstract
One of the most common modalities to examine the human eye is the eye-fundus photograph. The evaluation of fundus photographs is carried out by medical experts during time-consuming visual inspection. Our aim is to accelerate this process using computer aided diagnosis. As a first step, it is necessary to segment structures in the images for tissue differentiation. As the eye is the only organ, where the vasculature can be imaged in an in vivo and noninterventional way without using expensive scanners, the vessel tree is one of the most interesting and important structures to analyze. The quality and resolution of fundus images are rapidly increasing. Thus, segmentation methods need to be adapted to the new…
Citation impact
- FWCI
- 7.33
- Percentile
- 100%
- References
- 37
Authors
5- ABAttila BudaiCorresponding
Friedrich-Alexander-Universität Erlangen-Nürnberg
- RBRüdiger Bock
Friedrich-Alexander-Universität Erlangen-Nürnberg
- AMAnatol Maier
Friedrich-Alexander-Universität Erlangen-Nürnberg
- JHJoachim Hornegger
Friedrich-Alexander-Universität Erlangen-Nürnberg
- GMGeorg Michelson
Friedrich-Alexander-Universität Erlangen-Nürnberg
Topics & keywords
- Computer science
- Fundus (uterus)
- Artificial intelligence
- Computer vision
- Segmentation
- Process (computing)
- Specular highlight
- Tree (set theory)