Blood vessel segmentation methodologies in retinal images - A survey

Computer Methods and Programs in Biomedicine

Volumn 108, Issue 1, 2012, Pages 407-433

  Fraz, M M ^a   Remagnino, P ^a   Hoppe, A ^a   Uyyanonvara, B ^b   Rudnicka, A R ^c   Owen, C G ^c   Barman, S A ^a  

^a KINGSTON UNIVERSITY   (United Kingdom)

^b THAMMASAT UNIVERSITY   (Thailand)

^c ST GEORGE'S UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Blood vessel segmentation; Image segmentation; Medical imaging; Retinal images; Retinopathy; Survey

Indexed keywords

BLOOD VESSEL SEGMENTATION; CURRENT TRENDS; FALSE POSITIVE RATES; FUNDAMENTAL COMPONENT; FUNDUS CAMERA; KEYPOINTS; PERFORMANCE MEASURE; PERFORMANCE OF ALGORITHM; RECEIVER OPERATING CHARACTERISTIC CURVES; RETINAL DISEASE; RETINAL IMAGE; RETINAL VESSEL EXTRACTION; RETINAL VESSELS; RETINOPATHY; TRUE POSITIVE RATES;

ALGORITHMS; BLOOD VESSELS; EYE PROTECTION; MEDICAL IMAGING; OPHTHALMOLOGY; SURVEYS;

IMAGE SEGMENTATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; DIAGNOSTIC ACCURACY; EYE PHOTOGRAPHY; FALSE POSITIVE RESULT; IMAGE ANALYSIS; IMAGE PROCESSING; MICROANEURYSM; RECEIVER OPERATING CHARACTERISTIC; RETINA BLOOD VESSEL; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BLOOD VESSELS; FUNDUS OCULI; HUMANS;

EID: 84865777319     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2012.03.009     Document Type: Article

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