Automatic labeling of MR brain images by hierarchical learning of atlas forests

Medical Physics

Volumn 43, Issue 3, 2016, Pages

  Zhang, Lichi ^a   Wang, Qian ^a   Gao, Yaozong ^b,c   Wu, Guorong ^b   Shen, Dinggang ^b,d  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c University of North Carolina   (United States)

^d Korea University   (South Korea)

Author keywords

atlas selection; brain MR images; clustering; image segmentation; random forest

Indexed keywords

BRAIN MAPPING; DECISION TREES; IMAGE ENHANCEMENT; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; NEURODEGENERATIVE DISEASES;

ATLAS SELECTION; BRAIN IMAGES; BRAIN MR IMAGES; CLUSTERINGS; HIERARCHICAL LEARNING; HIERARCHICAL STRUCTURES; IMAGE LABELING; IMAGES SEGMENTATIONS; LABELINGS; RANDOM FORESTS;

IMAGE SEGMENTATION;

ALZHEIMER DISEASE; ARTICLE; AUTOMATION; BRAIN; DATA ANALYSIS; HUMAN; IMAGE ANALYSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; RANDOM FOREST; DIAGNOSTIC IMAGING; IMAGE PROCESSING; MACHINE LEARNING; PROCEDURES;

AUTOMATION; BRAIN; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING;

EID: 84958582011     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1118/1.4941011     Document Type: Article

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