On the automatic 2D retinal vessel extraction

C. Alonso-Montes; D. L. Vilariño; M. G. Penedo

doi:10.1007/11552499_19

On the automatic 2D retinal vessel extraction

C. Alonso-Montes
, D. L. Vilariño
, M. G. Penedo

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

Retinal vessel extraction has become an important task of medical image processing applications in order to diagnose ocular diseases. In this paper, a novel methodology is proposed to extract vessels automatically from retinal angiographies. The proposed methodology has been implemented by means of Cellular Neural Networks techniques to take advantage of their capabilities of massively parallel processing reducing computation time required.

Original language	English
Pages (from-to)	165-173
Number of pages	9
Journal	Lecture Notes in Computer Science
Volume	3687
Issue number	PART II
DOIs	https://doi.org/10.1007/11552499_19
Publication status	Published - 2005
Externally published	Yes
Event	Third International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, United Kingdom Duration: 22 Aug 2005 → 25 Aug 2005

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10.1007/11552499_19

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title = "On the automatic 2D retinal vessel extraction",

abstract = "Retinal vessel extraction has become an important task of medical image processing applications in order to diagnose ocular diseases. In this paper, a novel methodology is proposed to extract vessels automatically from retinal angiographies. The proposed methodology has been implemented by means of Cellular Neural Networks techniques to take advantage of their capabilities of massively parallel processing reducing computation time required.",

author = "C. Alonso-Montes and Vilari{\~n}o, \{D. L.\} and Penedo, \{M. G.\}",

year = "2005",

doi = "10.1007/11552499\_19",

language = "English",

volume = "3687",

pages = "165--173",

journal = "Lecture Notes in Computer Science",

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note = "Third International Conference on Advances in Patten Recognition, ICAPR 2005 ; Conference date: 22-08-2005 Through 25-08-2005",

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T1 - On the automatic 2D retinal vessel extraction

AU - Alonso-Montes, C.

AU - Vilariño, D. L.

AU - Penedo, M. G.

PY - 2005

Y1 - 2005

N2 - Retinal vessel extraction has become an important task of medical image processing applications in order to diagnose ocular diseases. In this paper, a novel methodology is proposed to extract vessels automatically from retinal angiographies. The proposed methodology has been implemented by means of Cellular Neural Networks techniques to take advantage of their capabilities of massively parallel processing reducing computation time required.

AB - Retinal vessel extraction has become an important task of medical image processing applications in order to diagnose ocular diseases. In this paper, a novel methodology is proposed to extract vessels automatically from retinal angiographies. The proposed methodology has been implemented by means of Cellular Neural Networks techniques to take advantage of their capabilities of massively parallel processing reducing computation time required.

UR - https://www.scopus.com/pages/publications/27244456971

U2 - 10.1007/11552499_19

DO - 10.1007/11552499_19

M3 - Conference article

AN - SCOPUS:27244456971

SN - 0302-9743

VL - 3687

SP - 165

EP - 173

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - PART II

T2 - Third International Conference on Advances in Patten Recognition, ICAPR 2005

Y2 - 22 August 2005 through 25 August 2005

ER -

On the automatic 2D retinal vessel extraction

Abstract

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