A Unified Framework for Brain Segmentation in MR Images

Computational and Mathematical Methods in Medicine

Volumn 2015, Issue , 2015, Pages

  Yazdani, S ^a   Yusof, R ^a   Karimian, A ^b   Riazi, A H ^c   Bennamoun, M ^d  

^a MALAYSIA JAPAN INTERNATIONAL INSTITUTE OF TECHNOLOGY   (Malaysia)

^b UNIVERSITY OF ISFAHAN   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

^d UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CEREBROSPINAL FLUID; DIAGNOSIS; IMAGE ENHANCEMENT; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAXIMUM PRINCIPLE; SUPPORT VECTOR MACHINES;

ANATOMICAL CHANGES; AUTOMATIC SEGMENTATIONS; BRAIN TISSUE SEGMENTATIONS; EXPECTATION-MAXIMIZATION METHOD; HYBRID IMAGE SEGMENTATIONS; MAGNETIC RESONANCE IMAGES (MRI); MANUAL SEGMENTATION; SPATIAL INFORMATIONS;

IMAGE SEGMENTATION;

ARTICLE; CEREBROSPINAL FLUID; GRAY MATTER; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; SIMULATION; SUPPORT VECTOR MACHINE; WHITE MATTER; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGY; BRAIN; COMPUTER SIMULATION; EVALUATION STUDY; PATHOLOGY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; BRAIN; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; SUPPORT VECTOR MACHINE;

EID: 84930959680     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2015/829893     Document Type: Article

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