Abstract
Retinal fundus image is a widely used image modality to diagnose ocular diseases such as glaucoma, age-related macular degeneration and diabetic retinopathy. There are a number of fundus image databases available online. However, most of them are used for blood vessel extraction and optic disc localization, and hardly any have optic cup annotation. In this paper, we present a fundus image database with accurate annotation of both the optic disc and optic cup. Besides, there are multiple images for the same subject, taking under different conditions, allowing repeatability study of automated segmentation algorithms. Currently, ACHIKO-I contains 179 images and is divided into two subsets for different purposes. The database is used to evaluate our work on cup-to-disc ratio (CDR) measurement, which also demonstrates how the database can be used and assessed.
| Original language | English |
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| Title of host publication | Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 |
| Pages | 224-227 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 - Melbourne, VIC, Australia Duration: 19 Jun 2013 → 21 Jun 2013 |
Publication series
| Name | Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 |
|---|
Conference
| Conference | 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 |
|---|---|
| Country/Territory | Australia |
| City | Melbourne, VIC |
| Period | 19/06/13 → 21/06/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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