Quantitative prediction of acute ischemic tissue fate using support vector machine

Brain Research

Volumn 1405, Issue , 2011, Pages 77-84

  Huang, Shiliang ^a   Shen, Qiang ^a   Duong, Timothy Q ^a,b  

^a UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^b SOUTH TEXAS VETERANS HEALTH CARE SYSTEM   (United States)

Author keywords

ADC; ANN; CBF; DWI; fMRI; Perfusion diffusion mismatch; Predictive model; PWI; Spatial infarction incidence; SVM

Indexed keywords

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN BLOOD FLOW; BRAIN INFARCTION; BRAIN ISCHEMIA; CONTROLLED STUDY; DIFFUSION COEFFICIENT; MIDDLE CEREBRAL ARTERY OCCLUSION; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; RAT; RECEIVER OPERATING CHARACTERISTIC; STROKE; SUPPORT VECTOR MACHINE;

ALGORITHMS; ANIMALS; BRAIN MAPPING; CEREBROVASCULAR CIRCULATION; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; DIFFUSION MAGNETIC RESONANCE IMAGING; INFARCTION, MIDDLE CEREBRAL ARTERY; RATS; ROC CURVE; STROKE;

RATTUS;

EID: 79960740340     PISSN: 00068993     EISSN: 18726240     Source Type: Journal    
DOI: 10.1016/j.brainres.2011.05.066     Document Type: Article

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