Automatic detection, segmentation and characterization of retinal horizontal neurons in large-scale 3D confocal imagery

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7962, Issue , 2011, Pages

  Karakaya, Mahmut ^a   Kerekes, Ryan A ^b   Gleason, Shaun S ^b   Martins, Rodrigo A P ^c   Dyer, Michael A ^d  

^a UNIVERSITY OF TENNESSEE   (United States)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

^c FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^d ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

Author keywords

confocal imagery; feature analysis; retinal neurons; segmentation

Indexed keywords

3-D IMAGE; ACTIVE CONTOURS; AUTOMATIC ANALYSIS; AUTOMATIC DETECTION; CONFOCAL IMAGE; CONFOCAL IMAGERY; FEATURE ANALYSIS; MORPHOLOGICAL OPERATOR; MORPHOLOGICAL STRUCTURES; NETWORK ANALYSIS; NETWORK REPRESENTATION; NEURONAL STRUCTURE; PROCESSING APPROACH; QUANTITATIVE COMPARISON; RETINAL NEURONS; SEED POINT; SEGMENTATION; SHAPE BASED; SKELETONIZATION; SPATIAL RESOLUTION IMAGERY;

DENDRITES (METALLOGRAPHY); ELECTRIC NETWORK ANALYSIS; IMAGE SEGMENTATION; IMAGING SYSTEMS; MEDICAL IMAGING; NEURONS; OPHTHALMOLOGY;

THREE DIMENSIONAL;

EID: 79957982324     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878029     Document Type: Conference Paper

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