Improving vessel segmentation in ultra-wide field-of-view retinal fluorescein angiograms

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 2614-2617

  Perez Rovira, A ^a   Zutis, K ^a   Hubschman, J P ^b   Trucco, E ^a  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

^b JULES STEIN EYE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM COMPARISON; AUTOMATIC THRESHOLDING; DATA SETS; FALSE POSITIVE; FIELD OF VIEWS; FILTERED IMAGES; FLUORESCEIN ANGIOGRAM SEQUENCES; GROUND TRUTH; OPTIC DISC; QUANTITATIVE RESULT; SEGMENTATION PRECISION; STEERABLE FILTERS; ULTRA-WIDE; VASCULAR STRUCTURES; VESSEL SEGMENTATION;

ALGORITHMS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; FLUORESCENCE ANGIOGRAPHY; HISTOLOGY; HUMAN; METHODOLOGY; REPRODUCIBILITY; RETINA BLOOD VESSEL;

ALGORITHMS; FLUORESCEIN ANGIOGRAPHY; HUMANS; REPRODUCIBILITY OF RESULTS; RETINAL VESSELS;

EID: 84862605706     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090721     Document Type: Conference Paper

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