Segmenting hippocampus from infant brains by sparse patch matching with deep-learned features

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

Volumn 17, Issue , 2014, Pages 308-315

  Guo, Yanrong ^a   Wu, Guorong ^a   Commander, Leah A ^a   Szary, Stephanie ^a   Jewells, Valerie ^a   Lin, Weili ^a   Shent, Dinggang ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

AGING; ANATOMY AND HISTOLOGY; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; GROWTH, DEVELOPMENT AND AGING; HIPPOCAMPUS; HUMAN; INFANT; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

AGING; ARTIFICIAL INTELLIGENCE; HIPPOCAMPUS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT; INFANT, NEWBORN; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84922329668     PISSN: None     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (0)