Kinetic modeling based probabilistic segmentation for molecular images

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 244-252

  Saad, Ahmed ^a   Hamarneh, Ghassan ^a   Möller, Torsten ^a   Smith, Ben ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN IMAGES; FLUORODEOXYGLUCOSE; KINETIC MODELING; LOW SIGNAL-TO-NOISE RATIO; MOLECULAR IMAGES; MOLECULAR IMAGING; NOISE LEVELS; PARTIAL VOLUME EFFECT; SEGMENTATION TECHNIQUES; SELF-LEARNING; SEMI-SUPERVISED; UNCERTAINTY PRINCIPLES;

ACOUSTIC INTENSITY; COMPUTER SCIENCE; IGNEOUS ROCKS; LEARNING ALGORITHMS; MEDICAL COMPUTING; SIGNAL TO NOISE RATIO;

POSITRON EMISSION TOMOGRAPHY;

DIAGNOSTIC AGENT; FLUORODEOXYGLUCOSE F 18; RADIOPHARMACEUTICAL AGENT;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; GENETIC PROCEDURES; IMAGE ENHANCEMENT; KINETICS; METHODOLOGY; POSITRON EMISSION TOMOGRAPHY; REPRODUCIBILITY; SCINTISCANNING; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; FLUORODEOXYGLUCOSE F18; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KINETICS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MOLECULAR PROBE TECHNIQUES; PATTERN RECOGNITION, AUTOMATED; POSITRON-EMISSION TOMOGRAPHY; RADIOPHARMACEUTICALS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 58849085194     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_30     Document Type: Conference Paper

References (12)

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