Automated segmentation of pathological cavities in optical coherence tomography scans

Investigative Ophthalmology and Visual Science

Volumn 54, Issue 6, 2013, Pages 4385-4393

  Pilch, Matthäus ^a,b   Stieger, Knut ^a   Wenner, Yaroslava ^a   Preising, Markus N ^a   Friedburg, Christoph ^a   Meyer zu Bexten, Erdmuthe ^b   Lorenz, Birgit ^a  

^a JUSTUS LIEBIG UNIVERSITY   (Germany)

^b TECHNISCHE HOCHSCHULE MITTELHESSEN   (Germany)

Author keywords

AMD; Analysis software; Bullous cavities; Retina; Retinoschisis

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATED SEGMENTATION; B SCAN; CLINICAL ARTICLE; CLUSTER ANALYSIS; DIAGNOSTIC PROCEDURE; HUMAN; HUMAN TISSUE; K NEAREST NEIGHBOR; MEASUREMENT ACCURACY; NOISE REDUCTION; PATHOLOGY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RETINA; RETINA DETACHMENT; RETINA MACULA DEGENERATION; RETINOSCHISIS; RETROSPECTIVE STUDY; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY; VALIDATION PROCESS; VOLUME SCAN;

AMD; ANALYSIS SOFTWARE; BULLOUS CAVITIES; RETINA; RETINOSCHISIS;

ALGORITHMS; ANGIOGENESIS INHIBITORS; ANTIBODIES, MONOCLONAL, HUMANIZED; HUMANS; RETINA; RETINAL DETACHMENT; RETINOSCHISIS; TOMOGRAPHY, OPTICAL COHERENCE; VACUOLES; VASCULAR ENDOTHELIAL GROWTH FACTOR A; WET MACULAR DEGENERATION;

EID: 84879560881     PISSN: 01460404     EISSN: 15525783     Source Type: Journal    
DOI: 10.1167/iovs.12-11396     Document Type: Article

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