Two methods for validating brain tissue classifiers

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

Volumn 3749 LNCS, Issue , 2005, Pages 515-522

  Martin Fernandez, Marcos ^a,b   Bouix, Sylvain ^a,c   Ungar, Lida ^c   McCarley, Robert W ^c   Shenton, Martha E ^c  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b UNIVERSITY OF VALLADOLID   (Spain)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; COMPUTATION THEORY; IMAGE SEGMENTATION; MEDICAL IMAGING; PARAMETER ESTIMATION;

BRAIN TISSUE CLASSIFIERS; SIMULTANEOUS TRUTH AND PERFORMANCE LEVEL ESTIMATION (STAPLE); WEIGHTED SCAN; WILLIAMS' INDEX;

TISSUE;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; CLINICAL TRIAL; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; CLUSTER ANALYSIS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33744817395     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_64     Document Type: Conference Paper

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