Unsupervised automated retinal vessel segmentation based on Radon line detector and morphological reconstruction

Meysam Tavakoli; Alireza Mehdizadeh; Reza Pourreza Shahri; Jamshid Dehmeshki

doi:10.1049/ipr2.12119

Unsupervised automated retinal vessel segmentation based on Radon line detector and morphological reconstruction

Meysam Tavakoli
, Alireza Mehdizadeh
, Reza Pourreza Shahri
, Jamshid Dehmeshki

Indiana University-Purdue University Indianapolis
University of Texas Southwestern Medical Center
Shiraz University of Medical Sciences
University of Texas at Dallas
Kingston University

Research output: Contribution to journal › Article › peer-review

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Original language	English
Pages (from-to)	1484-1498
Journal	IET Image Processing
Volume	15
Issue number	7
Early online date	5 Jan 2021
DOIs	https://doi.org/10.1049/ipr2.12119
Publication status	Published - 31 May 2021

Keywords

Cardiovascular medicine
computer vision and pattern recognition
electrical and electronic engineering
signal processing
software

Access to Document

10.1049/ipr2.12119

Dehmeshki-J-48119-VoRFinal published version, 2.13 MBLicence: CC BY

https://doi.org/10.1049/ipr2.12119

Cite this

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title = "Unsupervised automated retinal vessel segmentation based on Radon line detector and morphological reconstruction",

keywords = "Cardiovascular medicine, computer vision and pattern recognition, electrical and electronic engineering, signal processing, software",

author = "Meysam Tavakoli and Alireza Mehdizadeh and \{Pourreza Shahri\}, Reza and Jamshid Dehmeshki",

year = "2021",

month = may,

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language = "English",

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AU - Tavakoli, Meysam

AU - Mehdizadeh, Alireza

AU - Pourreza Shahri, Reza

AU - Dehmeshki, Jamshid

PY - 2021/5/31

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KW - Cardiovascular medicine

KW - computer vision and pattern recognition

KW - electrical and electronic engineering

KW - signal processing

KW - software

U2 - 10.1049/ipr2.12119

DO - 10.1049/ipr2.12119

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