Automated segmentation of 3-D spectral OCT retinal blood vessels by neural canal opening false positive suppression

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 33-40

  Hu, Zhihong ^a   Niemeijer, Meindert ^a,b   Abràmoff, Michael D ^a,b,c   Lee, Kyungmoo ^a   Garvin, Mona K ^a  

^a IA United States   (United States)

^b UNIVERSITY OF IOWA   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE CURVES; AUTOMATED SEGMENTATION; FALSE POSITIVE; GABOR WAVELETS; GRAPH SEARCH; GRAPH THEORETIC APPROACH; OPTIC NERVE HEAD; PIXEL CLASSIFICATION; PROJECTION IMAGE; RETINAL BLOOD VESSELS; ROC ANALYSIS; SEGMENTATION METHODS; SPECTRAL OCT; SPECTRAL-DOMAIN OPTICAL COHERENCE TOMOGRAPHY; VESSEL SEGMENTATION;

BLOOD; COHERENT LIGHT; EYE PROTECTION; FEATURE EXTRACTION; GRAPH THEORY; HYDRAULIC STRUCTURES; IMAGE PROCESSING; MEDICAL COMPUTING; MEDICAL IMAGING; OPHTHALMOLOGY; THREE DIMENSIONAL; TOMOGRAPHY;

BLOOD VESSELS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; LABORATORY DIAGNOSIS; MALE; METHODOLOGY; NEURAL TUBE; OPTICAL COHERENCE TOMOGRAPHY; REPRODUCIBILITY; RETINA BLOOD VESSEL; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; FALSE POSITIVE REACTIONS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; NEURAL TUBE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINAL VESSELS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84855743130     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_5     Document Type: Conference Paper

References (9)

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