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http://bura.brunel.ac.uk/handle/2438/9674Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kaba, D | - |
| dc.contributor.author | Wang, C | - |
| dc.contributor.author | Li, Y | - |
| dc.contributor.author | Salazar-Gonzalez, A | - |
| dc.contributor.author | Liu, X | - |
| dc.contributor.author | Serag, A | - |
| dc.date.accessioned | 2015-01-07T11:12:36Z | - |
| dc.date.available | 2014-01-27 | - |
| dc.date.available | 2015-01-07T11:12:36Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.citation | Health Information Science and Systems, 2: 2, (27 January 2014) | en_US |
| dc.identifier.issn | 2047-2501 | - |
| dc.identifier.uri | http://www.hissjournal.com/content/2/1/2 | - |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/9674 | - |
| dc.description | © 2014 Kaba et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_US |
| dc.description | This article has been made available through the Brunel Open Access Publishing Fund. | - |
| dc.description.abstract | The analysis of retinal blood vessels plays an important role in detecting and treating retinal diseases. In this review, we present an automated method to segment blood vessels of fundus retinal image. The proposed method could be used to support a non-intrusive diagnosis in modern ophthalmology for early detection of retinal diseases, treatment evaluation or clinical study. This study combines the bias correction and an adaptive histogram equalisation to enhance the appearance of the blood vessels. Then the blood vessels are extracted using probabilistic modelling that is optimised by the expectation maximisation algorithm. The method is evaluated on fundus retinal images of STARE and DRIVE datasets. The experimental results are compared with some recently published methods of retinal blood vessels segmentation. The experimental results show that our method achieved the best overall performance and it is comparable to the performance of human experts. | en_US |
| dc.description.sponsorship | The Department of Information Systems, Computing and Mathematics, Brunel University. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BioMed Central | en_US |
| dc.subject | Retinal images | en_US |
| dc.subject | Vessel segmentation | en_US |
| dc.subject | Expectation maximisation | en_US |
| dc.title | Retinal blood vessels extraction using probabilistic modelling | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | http://dx.doi.org/10.1186/2047-2501-2-2 | - |
| dc.relation.isPartOf | Health Information Science and Systems | - |
| dc.relation.isPartOf | Health Information Science and Systems | - |
| pubs.volume | 2 | - |
| pubs.volume | 2 | - |
| pubs.organisational-data | /Brunel | - |
| pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
| pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences | - |
| pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Computer Science | - |
| pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Computer Science/Computer Science | - |
| pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme | - |
| pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies | - |
| pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies/Synthetic Biology | - |
| pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
| pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups | - |
| pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets | - |
| pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
| pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies | - |
| pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics | - |
| pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology | - |
| pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups | - |
| pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Multidisclipary Assessment of Technology Centre for Healthcare (MATCH) | - |
| Appears in Collections: | Brunel OA Publishing Fund Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Fulltext.pdf | 1.74 MB | Adobe PDF | View/Open |
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