A generative model for OCT retinal layer segmentation by integrating graph-based multi-surface searching and image registration

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

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 428-435

  Zheng, Yuanjie ^a   Xiao, Rui ^b   Wang, Yan ^a   Gee, James C ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL SIMILARITY; AUTOMATED SEGMENTATION; GENERATIVE MODEL; INTERACTING LAYERS; LOCAL IMAGE DESCRIPTORS; PROBABILISTIC MODELING; STATE-OF-THE-ART TECHNIQUES; VOLUMETRIC IMAGES;

IMAGE REGISTRATION; IMAGE SEGMENTATION; OPHTHALMOLOGY;

OPTICAL TOMOGRAPHY;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DOG; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; REPRODUCIBILITY; RETINA; RETINA DEGENERATION; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SYSTEM ANALYSIS;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; DOGS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINA; RETINAL DEGENERATION; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; SYSTEMS INTEGRATION; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84885767610     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_54     Document Type: Conference Paper

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