A hybrid system using symbolic and numeric knowledge for the semantic annotation of sulco-gyral anatomy in brain MRI images

IEEE Transactions on Medical Imaging

Volumn 28, Issue 8, 2009, Pages 1165-1178

  Mechouche, Ammar ^a   Morandi, Xavier ^b   Golbreich, Christine ^c,d   Gibaud, Bernard ^b  

^a INSERM   (France)

^b INRIA   (France)

^c LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

^d LIRMM   (France)

Author keywords

Biomedical ontologies; Brain anatomy; Magnetic resonance (MR) images; Reasoning; Rules; Semantic annotation; Semantic web technologies

Indexed keywords

BIOMEDICAL ONTOLOGIES; BRAIN ANATOMY; REASONING; RULES; SEMANTIC ANNOTATION; SEMANTIC WEB TECHNOLOGIES;

AUTOMATA THEORY; CLIENT SERVER COMPUTER SYSTEMS; DATA DESCRIPTION; HYBRID SYSTEMS; IMAGE PROCESSING; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; ONTOLOGY; SEMANTICS;

SEMANTIC WEB;

ARTICLE; BIOLOGICAL MODEL; BRAIN; COMPUTER INTERFACE; DOCUMENTATION; HISTOLOGY; HUMAN; IMAGE PROCESSING; INTERNET; METHODOLOGY; NOMENCLATURE; NUCLEAR MAGNETIC RESONANCE IMAGING; SEMANTICS;

BRAIN; DOCUMENTATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTERNET; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; SEMANTICS; TERMINOLOGY AS TOPIC; USER-COMPUTER INTERFACE;

EID: 68249094617     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2026746     Document Type: Article

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