Cerebrospinal fluid image segmentation using spatial fuzzy clustering method with improved evolutionary Expectation Maximization

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 3359-3362

  Abdullah, Afnizanfaizal ^a   Hirayama, Akihiro ^b   Yatsushiro, Satoshi ^b   Matsumae, Mitsunori ^b   Kuroda, Kagayaki ^b  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b TOKAI UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; CEREBRO SPINAL FLUIDS; EVOLUTIONARY OPERATIONS; EXPECTATION - MAXIMIZATIONS; EXPECTATION-MAXIMIZATION METHOD; PARTIAL VOLUME EFFECT; SEGMENTATION METHODS; SPATIAL FUZZY CLUSTERING;

BRAIN; CEREBROSPINAL FLUID; FUZZY CLUSTERING; FUZZY SYSTEMS; MAGNETIC RESONANCE IMAGING; MAXIMUM PRINCIPLE; NEURODEGENERATIVE DISEASES; TISSUE;

IMAGE SEGMENTATION;

ALGORITHM; ALZHEIMER DISEASE; CEREBROSPINAL FLUID; CLUSTER ANALYSIS; FUZZY LOGIC; HUMAN; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PHYSIOLOGY;

ALGORITHMS; ALZHEIMER DISEASE; CEREBROSPINAL FLUID; CLUSTER ANALYSIS; FUZZY LOGIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING;

EID: 84886493790     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610261     Document Type: Conference Paper

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