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https://hdl.handle.net/10216/85679Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Behdad Dashtbozorg | |
| dc.creator | Ana Maria Mendonça | |
| dc.creator | Aurélio Campilho | |
| dc.date.accessioned | 2022-09-15T21:38:21Z | - |
| dc.date.available | 2022-09-15T21:38:21Z | - |
| dc.date.issued | 2012 | |
| dc.identifier.other | sigarra:149283 | |
| dc.identifier.uri | https://hdl.handle.net/10216/85679 | - |
| dc.description.abstract | In this paper, we present an automatic approach to classify retinal vessels into artery and vein classes by analyzing the extracted graph from the vasculature tree and deciding on the type of intersection points (bifurcation, crossing or meeting points). The results obtained by the proposed method were compared with manual classification on 40 images of the INSPIRE-AVR dataset. | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Atas do RecPad 2012 | |
| dc.rights | openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.title | An automatic graph-based method for retinal blood vessel classification | |
| dc.type | Artigo em Livro de Atas de Conferência Nacional | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Nacional | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 149283.pdf | 140.01 kB | Adobe PDF | ![]() View/Open |
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