Support vector machines in DSC-based glioma imaging: Suggestions for optimal characterization

Magnetic Resonance in Medicine

Volumn 64, Issue 4, 2010, Pages 1230-1236

  Zöllner, Frank G ^a   Emblem, Kyrre E ^b   Schad, Lothar R ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b OSLO UNIVERSITY HOSPITAL   (Norway)

Author keywords

Brain tumor; DSC MRI; Glioma grading; Histogram analysis; Support vector machines

Indexed keywords

GRADING; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAGNETIC SUSCEPTIBILITY; STATISTICAL TESTS; TUMORS;

BRAIN TUMORS; DSC MRI; DYNAMIC SUSCEPTIBILITY CONTRAST; HISTOGRAM ANALYSIS; MAGNETIC RESONANCE PERFUSIONS; RADIAL BASIS FUNCTION KERNELS; SUPPORT VECTOR MACHINE (SVMS); TRUE NEGATIVE RATES;

SUPPORT VECTOR MACHINES;

ADOLESCENT; ADULT; AGED; ARTICLE; AUTOMATION; CANCER GRADING; CANCER PATIENT; CLINICAL ARTICLE; CONTRAST ENHANCEMENT; DIAGNOSTIC VALUE; FEASIBILITY STUDY; FEMALE; GLIOMA; HUMAN; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROSPECTIVE STUDY; SUPPORT VECTOR MACHINE;

EID: 77957320191     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22495     Document Type: Article

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