Objective PET lesion segmentation using a spherical mean shift algorithm

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

Volumn 4191 LNCS - II, Issue , 2006, Pages 782-789

  Sebastian, Thomas B ^a   Manjeshwar, Ravindra M ^a   Akhurst, Timothy J ^b   Miller, James V ^a  

^a GE GLOBAL RESEARCH   (United States)

^b MSK Cancer Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE QUALITY; MATHEMATICAL MODELS; MEDICAL IMAGING; ONCOLOGY;

DIGITAL PHANTOMS; LESIONS; PET IMAGERY; SEGMENTATION ALGORITHMS; VARYING BACKGROUND MODELS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; INSTRUMENTATION; METHODOLOGY; NEOPLASM; POSITRON EMISSION TOMOGRAPHY; REPRODUCIBILITY; SCINTISCANNING; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; POSITRON-EMISSION TOMOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33750226917     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866763_96     Document Type: Conference Paper

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