Shape-based alignment of hippocampal subfields: evaluation in postmortem MRI

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 510-517

  Yushkevich, Paul A ^a   Avants, Brian B ^a   Pluta, John ^a   Minkoff, David ^a   Detre, John A ^a   Grossman, Murray ^a   Gee, James C ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; HIPPOCAMPAL FORMATION; IMAGE FORCE; IMAGE-BASED; IN-VIVO; MEDIAL REPRESENTATION; SHAPE BASED; SUBFIELDS;

ALIGNMENT; COMPUTER SCIENCE;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CADAVER; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HIPPOCAMPUS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CADAVER; COMPUTER SIMULATION; HIPPOCAMPUS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 80052635049     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_61     Document Type: Conference Paper

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