An extensible knowledge-based architecture for segmenting CT data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3338, Issue , 1998, Pages 564-574

  Brown, Matthew S ^a   McNitt Gray, Michael F ^a   Goldin, Jonathan G ^a   Aberle, Denise R ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Anatomical model; Computed tomography; Knowledge based; Segmentation

Indexed keywords

BIOLOGICAL ORGANS; BLOOD VESSELS; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC RADIOGRAPHY; IMAGE PROCESSING; IMAGING SYSTEMS; INFORMATION THEORY; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; MODEL STRUCTURES; TOMOGRAPHY;

3-D RENDERINGS; A-FRAMES; A-PRIORI; ANATOMICAL MODEL; ANATOMICAL STRUCTURES; AUTOMATIC SEGMENTATIONS; BRAIN ANATOMIES; COMMON FEATURES; COMPUTED TOMOGRAPHY; CT DATUM; EXPLICIT REPRESENTATIONS; FEATURE SPACES; HIGH-LEVEL MODELS; IMAGE DATUM; KNOWLEDGE-BASE; KNOWLEDGE-BASED; LUNG FIELDS; LUNG SEGMENTATIONS; MODULAR ARCHITECTURES; PROCESSING ENGINES; RELATIVE POSITIONS; SEGMENTATION; SEGMENTED IMAGES; SEMANTIC NETWORKS; SYSTEM EXTENSIONS; THORACIC CT; VASCULAR STRUCTURES; X-RAY ATTENUATIONS;

THREE DIMENSIONAL;

EID: 60849120493     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.310934     Document Type: Conference Paper

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