Literature DB >> 19163150

REVIEW - a reference data set for retinal vessel profiles.

Bashir Al-Diri1, Andrew Hunter, David Steel, Maged Habib, Taghread Hudaib, Simon Berry.   

Abstract

This paper describes REVIEW, a new retinal vessel reference dataset. This dataset includes 16 images with 193 vessel segments, demonstrating a variety of pathologies and vessel types. The vessel edges are marked by three observers using a special drawing tool. The paper also describes the algorithm used to process these segments to produce vessel profiles, against which vessel width measurement algorithms can be assessed. Recommendations are given for use of the dataset in performance assessment. REVIEW can be downloaded from http://ReviewDB.lincoln.ac.uk.

Mesh:

Year:  2008        PMID: 19163150     DOI: 10.1109/IEMBS.2008.4649647

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  17 in total

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Authors:  Rolando Estrada; Carlo Tomasi; Michelle T Cabrera; David K Wallace; Sharon F Freedman; Sina Farsiu
Journal:  Biomed Opt Express       Date:  2012-01-18       Impact factor: 3.732

2.  Recent Advancements in Retinal Vessel Segmentation.

Authors:  Chetan L Srinidhi; P Aparna; Jeny Rajan
Journal:  J Med Syst       Date:  2017-03-11       Impact factor: 4.460

3.  DR HAGIS-a fundus image database for the automatic extraction of retinal surface vessels from diabetic patients.

Authors:  Sven Holm; Greg Russell; Vincent Nourrit; Niall McLoughlin
Journal:  J Med Imaging (Bellingham)       Date:  2017-02-09

4.  Generalisability through local validation: overcoming barriers due to data disparity in healthcare.

Authors:  William Greig Mitchell; Edward Christopher Dee; Leo Anthony Celi
Journal:  BMC Ophthalmol       Date:  2021-05-21       Impact factor: 2.209

5.  Fast retinal vessel detection and measurement using wavelets and edge location refinement.

Authors:  Peter Bankhead; C Norman Scholfield; J Graham McGeown; Tim M Curtis
Journal:  PLoS One       Date:  2012-03-12       Impact factor: 3.240

6.  Constructing benchmark databases and protocols for medical image analysis: diabetic retinopathy.

Authors:  Tomi Kauppi; Joni-Kristian Kämäräinen; Lasse Lensu; Valentina Kalesnykiene; Iiris Sorri; Hannu Uusitalo; Heikki Kälviäinen
Journal:  Comput Math Methods Med       Date:  2013-06-19       Impact factor: 2.238

7.  Automatic segmentation and measurement of vasculature in retinal fundus images using probabilistic formulation.

Authors:  Yi Yin; Mouloud Adel; Salah Bourennane
Journal:  Comput Math Methods Med       Date:  2013-12-08       Impact factor: 2.238

8.  Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing.

Authors:  Sarni Suhaila Rahim; Vasile Palade; James Shuttleworth; Chrisina Jayne
Journal:  Brain Inform       Date:  2016-03-16

9.  Retinal vessel diameter measurement using unsupervised linear discriminant analysis.

Authors:  Dinesh K Kumar; Behzad Aliahmad; Hao Hao
Journal:  ISRN Ophthalmol       Date:  2012-11-06

10.  Smartphone-Based Accurate Analysis of Retinal Vasculature towards Point-of-Care Diagnostics.

Authors:  Xiayu Xu; Wenxiang Ding; Xuemin Wang; Ruofan Cao; Maiye Zhang; Peilin Lv; Feng Xu
Journal:  Sci Rep       Date:  2016-10-04       Impact factor: 4.379

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