Image Segmentation of Retinal Vessels by Fuzzy Models

T Pham; Dat Tran; Marianne Brown; R Kennedy

doi:10.1109/ISPACS.2005.1595466

Image Segmentation of Retinal Vessels by Fuzzy Models

T Pham
, Dat Tran
, Marianne Brown
, R Kennedy

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

8 Citations (Scopus)

72 Downloads (Pure)

Abstract

Image segmentation of retinal vessels is an important and very challenging task in any automated system for the diagnosis of vascular conditions associated with diabetic retinopathy, which are the most common complications of diabetes. In this paper we propose several fuzzy computational models for detecting retinal vessels in images, which are subjected to inconsistent contrast and vague boundaries

Original language	English
Title of host publication	Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems
Editors	K.N Ngan, W.C Siu
Place of Publication	Hong Kong
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	541-544
Number of pages	4
ISBN (Print)	0-7803-9266-3
DOIs	https://doi.org/10.1109/ISPACS.2005.1595466
Publication status	Published - 2005
Event	International Symposium on Intelligent Signal Processing and Communication Systems - , Hong Kong Duration: 13 Dec 2005 → 16 Dec 2005

Conference

Conference	International Symposium on Intelligent Signal Processing and Communication Systems
Country/Territory	Hong Kong
Period	13/12/05 → 16/12/05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/ISPACS.2005.1595466

PaperFinal published version, 3.55 MB

Cite this

@inproceedings{f84d9a109ec84009ac50a1c910d1b669,

title = "Image Segmentation of Retinal Vessels by Fuzzy Models",

abstract = "Image segmentation of retinal vessels is an important and very challenging task in any automated system for the diagnosis of vascular conditions associated with diabetic retinopathy, which are the most common complications of diabetes. In this paper we propose several fuzzy computational models for detecting retinal vessels in images, which are subjected to inconsistent contrast and vague boundaries",

author = "T Pham and Dat Tran and Marianne Brown and R Kennedy",

year = "2005",

doi = "10.1109/ISPACS.2005.1595466",

language = "English",

isbn = "0-7803-9266-3",

pages = "541--544",

editor = "K.N Ngan and W.C Siu",

booktitle = "Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "International Symposium on Intelligent Signal Processing and Communication Systems ; Conference date: 13-12-2005 Through 16-12-2005",

}

Pham, T, Tran, D, Brown, M & Kennedy, R 2005, Image Segmentation of Retinal Vessels by Fuzzy Models. in KN Ngan & WC Siu (eds), Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems. IEEE, Institute of Electrical and Electronics Engineers, Hong Kong, pp. 541-544, International Symposium on Intelligent Signal Processing and Communication Systems, Hong Kong, 13/12/05. https://doi.org/10.1109/ISPACS.2005.1595466

Image Segmentation of Retinal Vessels by Fuzzy Models. / Pham, T; Tran, Dat; Brown, Marianne et al.
Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems. ed. / K.N Ngan; W.C Siu. Hong Kong: IEEE, Institute of Electrical and Electronics Engineers, 2005. p. 541-544.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Image Segmentation of Retinal Vessels by Fuzzy Models

AU - Pham, T

AU - Tran, Dat

AU - Brown, Marianne

AU - Kennedy, R

PY - 2005

Y1 - 2005

N2 - Image segmentation of retinal vessels is an important and very challenging task in any automated system for the diagnosis of vascular conditions associated with diabetic retinopathy, which are the most common complications of diabetes. In this paper we propose several fuzzy computational models for detecting retinal vessels in images, which are subjected to inconsistent contrast and vague boundaries

AB - Image segmentation of retinal vessels is an important and very challenging task in any automated system for the diagnosis of vascular conditions associated with diabetic retinopathy, which are the most common complications of diabetes. In this paper we propose several fuzzy computational models for detecting retinal vessels in images, which are subjected to inconsistent contrast and vague boundaries

U2 - 10.1109/ISPACS.2005.1595466

DO - 10.1109/ISPACS.2005.1595466

M3 - Conference contribution

SN - 0-7803-9266-3

SP - 541

EP - 544

BT - Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems

A2 - Ngan, K.N

A2 - Siu, W.C

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Hong Kong

T2 - International Symposium on Intelligent Signal Processing and Communication Systems

Y2 - 13 December 2005 through 16 December 2005

ER -

Image Segmentation of Retinal Vessels by Fuzzy Models

Abstract

Conference

UN SDGs

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