Atlas-based auto-segmentation of head and neck CT images

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

Volumn 5242 LNCS, Issue PART 2, 2008, Pages 434-441

  Han, Xiao ^a   Hoogeman, Mischa S ^b   Levendag, Peter C ^b   Hibbard, Lyndon S ^a   Teguh, David N ^b   Voet, Peter ^b   Cowen, Andrew C ^a   Wolf, Theresa K ^a  

^a CMS Inc   (United States)

^b ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; MEDICAL COMPUTING; MEDICAL IMAGING; PATIENT TREATMENT;

ATLAS-BASED METHODS; AUTO SEGMENTATION; HIERARCHICAL ATLAS; HIGH-PRECISION RADIOTHERAPY; LYMPH NODE REGION; REGISTRATION EFFICIENCIES; TREATMENT PLANNING; VALIDATION RESULTS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HEAD AND NECK TUMOR; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HEAD AND NECK NEOPLASMS; HUMANS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 58849084156     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_52     Document Type: Conference Paper

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