Selecting and assessing quantitative early ultrasound texture measures for their association with cerebral palsy

IEEE Transactions on Medical Imaging

Volumn 27, Issue 2, 2008, Pages 228-236

  Hope, Tyna A ^a   Gregson, Peter H ^b   Linney, Norma C ^c   Schmidt, Matthias H ^b   Abdolell, Mohamed ^b  

^a Cambridge Research & Instrumentation Inc   (United States)

^b DALHOUSIE UNIVERSITY   (Canada)

^c SAINT MARY S UNIVERSITY   (Canada)

Author keywords

Cerebral palsy (CP); Random forests; Ultrasound texture; White matter damage (WMD)

Indexed keywords

ADAPTIVE PROCESSING; BRAIN INJURY; CEREBRAL PALSY; DIAGNOSTIC INFORMATION; FEATURE ENHANCEMENT; HEALTH OUTCOMES; HIGH RESOLUTION; PATIENT POPULATION; PRETERM INFANTS; RANDOM FOREST CLASSIFIER; RANDOM FORESTS; WHITE MATTER DAMAGES;

DECISION TREES; DISEASES; IMAGE MATCHING; TEXTURES; ULTRASONIC APPLICATIONS; ULTRASONICS;

IMAGE TEXTURE;

ALGORITHM; ANIMAL; ARTICLE; CEREBRAL PALSY; COMPUTER ASSISTED DIAGNOSIS; ECHOENCEPHALOGRAPHY; ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; NEWBORN; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ANIMALS; CEREBRAL PALSY; ECHOENCEPHALOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT, NEWBORN; NERVE FIBERS, MYELINATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 41649104879     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.906089     Document Type: Article

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