Model-based esophagus segmentation from CT scans using a spatial probability map

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 95-102

  Feulner, Johannes ^a,c   Kevin Zhou, S ^b   Huber, Martin ^c   Cavallaro, Alexander ^d   Hornegger, Joachim ^a   Comaniciu, Dorin ^b  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b SIEMENS CORPORATE RESEARCH   (United States)

^c SIEMENS AG   (Germany)

^d UNIVERSITY HOSPITAL ERLANGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AIR HOLES; AUTOMATIC SEGMENTATIONS; CONTRAST AGENT; CROSS VALIDATION; CT DATA; CT SCAN; DATA SETS; DISCRIMINATIVE MODELS; LOW CONTRAST; LUNG TISSUE; MODEL-BASED; MODEL-BASED SEGMENTATION; MUSCLE TISSUES; PROBABILITY MAPS; REGION OF INTEREST; RESPIRATORY ORGANS; SEGMENTATION ERROR; THORACIC CT;

IMAGE SEGMENTATION; MEDICAL COMPUTING; MEDICAL IMAGING; PROBABILITY;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; ESOPHAGUS; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ESOPHAGUS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84883846582     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_12     Document Type: Conference Paper

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