Co-segmentation of functional and anatomical images

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

Volumn 7512 LNCS, Issue , 2012, Pages 459-467

  Bagci, Ulas ^a   Udupa, Jayaram K ^b   Yao, Jianhua ^a   Mollura, Daniel J ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Joint segmentation; Object detection; PET CT; Random walk

Indexed keywords

COMPUTERIZED TOMOGRAPHY; MEDICAL COMPUTING; MEDICAL IMAGING; OBJECT DETECTION; RANDOM PROCESSES;

ANATOMICAL IMAGES; ANATOMICAL STRUCTURES; CO SEGMENTATIONS; FOREGROUND OBJECTS; FUNCTIONAL IMAGES; JOINT SEGMENTATION; RANDOM WALK; SEED LOCALIZATION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED EMISSION TOMOGRAPHY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; LUNG DISEASE; LUNG FUNCTION TEST; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LUNG DISEASES; PATTERN RECOGNITION, AUTOMATED; POSITRON-EMISSION TOMOGRAPHY AND COMPUTED TOMOGRAPHY; REPRODUCIBILITY OF RESULTS; RESPIRATORY FUNCTION TESTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

MLCS; MLOWN;

EID: 84872970479     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_57     Document Type: Conference Paper

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