Classification of dynamic contrast-enhanced magnetic resonance breast lesions by support vector machines

Lignende værker

• Semi-Automatic Region-of-Interest Segmentation Based Computer-Aided Diagnosis of Mass Lesions from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Breast Cancer Screening
  af: Levman, Jacob, et al.
  Udgivet: (2014)
• A Vector Machine Formulation with Application to the Computer-Aided Diagnosis of Breast Cancer from DCE-MRI Screening Examinations
  af: Levman, Jacob E. D., et al.
  Udgivet: (2013)
• A Metric for Reducing False Positives in the Computer-Aided Detection of Breast Cancer from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Screening Examinations of High-Risk Women
  af: Levman, Jacob E. D., et al.
  Udgivet: (2015)
• Hybrid RGSA and Support Vector Machine Framework for Three-Dimensional Magnetic Resonance Brain Tumor Classification
  af: Rajesh Sharma, R., et al.
  Udgivet: (2015)
• Multiple Sclerosis Lesions Segmentation in Magnetic Resonance Imaging using Ensemble Support Vector Machine (ESVM)
  af: S HosseiniPanah, et al.
  Udgivet: (2019-12-01)