Validation of alternating Kernel mixture method: application to tissue segmentation of cortical and subcortical structures.

Journal of biomedicine & biotechnology

Volumn 2008, Issue , 2008, Pages 346129-

  Lee, Nayoung A ^a   Priebe, Carey E ^a   Miller, Michael I ^a   Ratnanather, J Tilak ^a  

^a Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HIPPOCAMPUS; HISTOLOGY; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CEREBRAL CORTEX; HIPPOCAMPUS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

MLCS; MLOWN;

EID: 54049148589     PISSN: None     EISSN: 11107251     Source Type: Journal    
DOI: 10.1155/2008/346129     Document Type: Article

References (0)