Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature

E. Trucco; L. Ballerini; D. Relan; A. Giachetti; T. MacGillivray; K. Zutis; C. Lupascu; D. Tegolo; E. Pellegrini; G. Robertson; P.J. Wilson; A. Doney; B. Dhillon

doi:10.1109/BRC.2013.6487552

Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature

E. Trucco, L. Ballerini, D. Relan, A. Giachetti, T. MacGillivray, K. Zutis, C. Lupascu, D. Tegolo, E. Pellegrini, G. Robertson, P.J. Wilson, A. Doney, B. Dhillon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

This paper summarizes three recent, novel algorithms developed within VAMPIRE, namely optic disc and macula detection, arteryvein classification, and enhancement of binary vessel masks, and their performance assessment. VAMPIRE is an international collaboration growing a suite of software tools to allow efficient quantification of morphological properties of the retinal vasculature in large collections of fundus camera images. VAMPIRE measurements are currently mostly used in biomarker research, i.e., investigating associations between the morphology of the retinal vasculature and a number of clinical and cognitive conditions. © 2013 IEEE.

Original language	English
Title of host publication	Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-4
Number of pages	4
ISBN (Print)	9781467330244
DOIs	https://doi.org/10.1109/BRC.2013.6487552
Publication status	Published - 2013

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10.1109/BRC.2013.6487552

http://www.scopus.com/inward/record.url?scp=84876760460&partnerID=8YFLogxK

1 Article

Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels
Relan, D., Ballerini, L., Trucco, E. & MacGillivray, T., 1 Aug 2018, (E-pub ahead of print) In: Multimedia Tools and Applications. p. 1-21
Research output: Contribution to journal › Article › peer-review

Cite this

Trucco, E., Ballerini, L., Relan, D., Giachetti, A., MacGillivray, T., Zutis, K., Lupascu, C., Tegolo, D., Pellegrini, E., Robertson, G., Wilson, P. J., Doney, A., & Dhillon, B. (2013). Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature. In Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP (pp. 1-4). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BRC.2013.6487552

@inproceedings{5034438950614a80b0acfa50ee5f95af,

title = "Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature",

abstract = "This paper summarizes three recent, novel algorithms developed within VAMPIRE, namely optic disc and macula detection, arteryvein classification, and enhancement of binary vessel masks, and their performance assessment. VAMPIRE is an international collaboration growing a suite of software tools to allow efficient quantification of morphological properties of the retinal vasculature in large collections of fundus camera images. VAMPIRE measurements are currently mostly used in biomarker research, i.e., investigating associations between the morphology of the retinal vasculature and a number of clinical and cognitive conditions. {\textcopyright} 2013 IEEE.",

author = "E. Trucco and L. Ballerini and D. Relan and A. Giachetti and T. MacGillivray and K. Zutis and C. Lupascu and D. Tegolo and E. Pellegrini and G. Robertson and P.J. Wilson and A. Doney and B. Dhillon",

year = "2013",

doi = "10.1109/BRC.2013.6487552",

language = "English",

isbn = "9781467330244",

pages = "1--4",

booktitle = "Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP",

publisher = "Institute of Electrical and Electronics Engineers",

}

Trucco, E, Ballerini, L, Relan, D, Giachetti, A, MacGillivray, T, Zutis, K, Lupascu, C, Tegolo, D, Pellegrini, E, Robertson, G, Wilson, PJ, Doney, A & Dhillon, B 2013, Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature. in Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP. Institute of Electrical and Electronics Engineers, pp. 1-4. https://doi.org/10.1109/BRC.2013.6487552

TY - GEN

T1 - Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature

AU - Trucco, E.

AU - Ballerini, L.

AU - Relan, D.

AU - Giachetti, A.

AU - MacGillivray, T.

AU - Zutis, K.

AU - Lupascu, C.

AU - Tegolo, D.

AU - Pellegrini, E.

AU - Robertson, G.

AU - Wilson, P.J.

AU - Doney, A.

AU - Dhillon, B.

PY - 2013

Y1 - 2013

N2 - This paper summarizes three recent, novel algorithms developed within VAMPIRE, namely optic disc and macula detection, arteryvein classification, and enhancement of binary vessel masks, and their performance assessment. VAMPIRE is an international collaboration growing a suite of software tools to allow efficient quantification of morphological properties of the retinal vasculature in large collections of fundus camera images. VAMPIRE measurements are currently mostly used in biomarker research, i.e., investigating associations between the morphology of the retinal vasculature and a number of clinical and cognitive conditions. © 2013 IEEE.

AB - This paper summarizes three recent, novel algorithms developed within VAMPIRE, namely optic disc and macula detection, arteryvein classification, and enhancement of binary vessel masks, and their performance assessment. VAMPIRE is an international collaboration growing a suite of software tools to allow efficient quantification of morphological properties of the retinal vasculature in large collections of fundus camera images. VAMPIRE measurements are currently mostly used in biomarker research, i.e., investigating associations between the morphology of the retinal vasculature and a number of clinical and cognitive conditions. © 2013 IEEE.

U2 - 10.1109/BRC.2013.6487552

DO - 10.1109/BRC.2013.6487552

M3 - Conference contribution

SN - 9781467330244

SP - 1

EP - 4

BT - Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP

PB - Institute of Electrical and Electronics Engineers

ER -

Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature

Abstract / Description of output

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Research output

Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels

Cite this