Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines
第一作者:
Torheim, T.
作者:
关键词
biomedical MRIcancerimage classificationimage texturemedical image processingradiation therapystatistical analysistumoursBrix parameter mapsBrix pharmacokinetic modelDCE-MRI uptake patternsSVMcervical cancerdynamic contrast enhanced MR image classificationfirst-order statistical featuresgray level cooccurrence matricesleave-one-out cross-model validationprechemoradiotherapy DCE-MRIrandom value permutation testsecond-order GLCM featuressupport vector machinestexture analysistissuetumorvascular propertiesAccuracyCorrelationKernelMagnetic resonance imagingStandardsSupport vector machinesTumorsCervixmachine learningmagnetic resonance imaging (MRI)pattern recognition and classification
发布时间
2014-08-28
- 浏览2
IEEE Transactions on Medical Imaging
1648-1656页
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