Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification

Muhammad Moazam Fraz; Alicja R. Rudnicka; Christopher G. Owen; Sarah A. Barman

doi:10.1007/s11548-013-0965-9

Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification

Muhammad Moazam Fraz
, Alicja R. Rudnicka
, Christopher G. Owen
, Sarah A. Barman

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

Abstract

A new retinal blood vessel segmentation algorithm was developed and tested with a shared database. The observed accuracy, speed, robustness and simplicity suggest that the algorithm may be a suitable tool for automated retinal image analysis in large population-based studies.

Original language	English
Pages (from-to)	795-811
Journal	International Journal of Computer Assisted Radiology and Surgery
Volume	9
Issue number	5
DOIs	https://doi.org/10.1007/s11548-013-0965-9
Publication status	Published - Sept 2014

Keywords

Computer science and informatics

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10.1007/s11548-013-0965-9

http://dx.doi.org/10.1007/s11548-013-0965-9

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title = "Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification",

abstract = "A new retinal blood vessel segmentation algorithm was developed and tested with a shared database. The observed accuracy, speed, robustness and simplicity suggest that the algorithm may be a suitable tool for automated retinal image analysis in large population-based studies.",

keywords = "Computer science and informatics",

author = "Fraz, \{Muhammad Moazam\} and Rudnicka, \{Alicja R.\} and Owen, \{Christopher G.\} and Barman, \{Sarah A.\}",

year = "2014",

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AU - Fraz, Muhammad Moazam

AU - Rudnicka, Alicja R.

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PY - 2014/9

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N2 - A new retinal blood vessel segmentation algorithm was developed and tested with a shared database. The observed accuracy, speed, robustness and simplicity suggest that the algorithm may be a suitable tool for automated retinal image analysis in large population-based studies.

AB - A new retinal blood vessel segmentation algorithm was developed and tested with a shared database. The observed accuracy, speed, robustness and simplicity suggest that the algorithm may be a suitable tool for automated retinal image analysis in large population-based studies.

KW - Computer science and informatics

UR - http://www.ncbi.nlm.nih.gov/pubmed/24366332

U2 - 10.1007/s11548-013-0965-9

DO - 10.1007/s11548-013-0965-9

M3 - Article

C2 - 24366332

SN - 1861-6410

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JO - International Journal of Computer Assisted Radiology and Surgery

JF - International Journal of Computer Assisted Radiology and Surgery

IS - 5

ER -

Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification

Abstract

Keywords

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