Abstract
In this paper, we propose an automatic technique for the assessment of retinal vessel caliber in fundus images using a fully automatic technique exploiting a multi-scale active contour technique. The proposed method is compared with the well-known semi-automated IVAN software and the Vampire width annotation tool. Experimental results show that our approach is able to provide fast and fully automatic caliber measurements with similar caliber measurement and comparable system error as the IVAN software. It will benefit the analysis of quantitative retinal vessel caliber measurements in large-scale screening programs.
Original language | English |
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Title of host publication | Fetal, infant and ophthalmic medical image analysis - International Workshop, FIFI 2017 and 4th International Workshop, OMIA 2017 Held in Conjunction with MICCAI 2017, Proceedings |
Publisher | Springer |
Pages | 227-234 |
Number of pages | 8 |
ISBN (Print) | 9783319675602 |
DOIs | |
Publication status | Published - 2017 |
Event | 4th International Workshop on Ophthalmic Medical Image Analysis (OMIA 2017) - Quebec City, Canada Duration: 10 Sept 2017 → 10 Sept 2017 Conference number: 4 http://pippi.cs.ucl.ac.uk/ |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10554 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 4th International Workshop on Ophthalmic Medical Image Analysis (OMIA 2017) |
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Abbreviated title | OMIA 2017 |
Country/Territory | Canada |
City | Quebec City |
Period | 10/09/17 → 10/09/17 |
Internet address |
Keywords
- Active contour
- Arteriolar-to-venular ratio
- Diabetes
- Fundus images
- Vessel width