A learning-based wrapper method to correct systematic errors in automatic image segmentation: Consistently improved performance in hippocampus, cortex and brain segmentation

NeuroImage

Volumn 55, Issue 3, 2011, Pages 968-985

  Wang, Hongzhi ^a   Das, Sandhitsu R ^a   Suh, Jung Wook ^a   Altinay, Murat ^a   Pluta, John ^a,b   Craige, Caryne ^a   Avants, Brian ^a   Yushkevich, Paul A ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

AdaBoost; Brain extraction; Brain tissue segmentation; Error correction; Hippocampal segmentation; Medical image segmentation

Indexed keywords

ACCURACY; ARTICLE; BRAIN CORTEX; COMPUTER PROGRAM; CONTROLLED STUDY; GRAY MATTER; HIPPOCAMPUS; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MACHINE LEARNING; MILD COGNITIVE IMPAIRMENT; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SYSTEMATIC ERROR; WHITE MATTER;

AGED; ALGORITHMS; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; ATLASES AS TOPIC; BRAIN; CEREBRAL CORTEX; DATABASES, FACTUAL; FEMALE; HIPPOCAMPUS; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; SOFTWARE;

EID: 79952071986     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.01.006     Document Type: Article

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