Regional homogeneity and anatomical parcellation for fMRI image classification: Application to schizophrenia and normal controls

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 136-143

  Shi, Feng ^a   Liu, Yong ^a   Jiang, Tianzi ^a   Zhou, Yuan ^a   Zhu, Wanlin ^a   Jiang, Jiefeng ^a   Liu, Haihong ^b   Liu, Zhening ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; IMAGE CLASSIFICATION; MATHEMATICAL MODELS; MEDICAL PROBLEMS;

ANATOMICAL PARCELLATION PROCESS; PSEUDOFISHER LINEAR DISCRIMINANT ANALYSIS (PFLDA); REGIONAL HOMOGENEITY (REHO);

MAGNETIC RESONANCE IMAGING;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; FEMALE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REFERENCE VALUE; REPRODUCIBILITY; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79551682545     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_17     Document Type: Conference Paper

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