Automatic lung lobe segmentation using particles, thin plate splines, and maximum a posteriori estimation

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

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 163-171

  Ross, James C ^a   San José Estépar, Raúl ^a   Kindlmann, Gordon ^b   Díaz, Alejandro ^a,c   Westin, Carl Fredrik ^a   Silverman, Edwin K ^a   Washko, George R ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b THE UNIVERSITY OF CHICAGO   (United States)

^c PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE   (Chile)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL STRUCTURES; BODY MASS INDEX; DATA SETS; DISEASE STATE; HIGH-RESOLUTION COMPUTED TOMOGRAPHY; IMAGE DOMAIN; IMAGE FEATURES; LOW DOSE; MAXIMUM A POSTERIORI ESTIMATION; OTHER ALGORITHMS; PARTICLE SYSTEMS; POST PROCESSING; SEGMENTATION ALGORITHMS; THIN-PLATE SPLINE;

ALGORITHMS; BIOLOGICAL ORGANS; INTERPOLATION; MEDICAL COMPUTING; MEDICAL IMAGING; PLATES (STRUCTURAL COMPONENTS); SPLINES;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; LUNG; LUNG DISEASE; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY;

ALGORITHMS; HUMANS; LUNG; LUNG DISEASES; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84874911357     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_21     Document Type: Conference Paper

References (11)

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