Fast automatic segmentation of the esophagus from 3D CT data using a probabilistic model

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 255-262

  Feulner, Johannes ^a,c   Zhou, S Kevin ^b   Cavallaro, Alexander ^d   Seifert, Sascha ^c   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

AUTOMATED SEGMENTATION; AUTOMATIC SEGMENTATIONS; COMPUTATION TIME; CT DATA; CT IMAGE; DATA SETS; DISCRIMINATIVE LEARNING; LOW CONTRAST; MARKOV CHAIN; PATHOLOGICAL TISSUE; PROBABILISTIC MODELS; RAPID DETECTION; REFINEMENT STEP; SEARCH SPACES; SEGMENTATION ERROR; SHORT SEGMENTS; TWO STEP METHOD; USER INTERACTION;

COMPUTERIZED TOMOGRAPHY; MARKOV PROCESSES; MEDICAL COMPUTING;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; COMPUTER SYSTEM; ESOPHAGUS; HUMAN; IMAGE QUALITY; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; COMPUTER SIMULATION; COMPUTER SYSTEMS; ESOPHAGUS; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 80052597536     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_32     Document Type: Conference Paper

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