Model–Free Visualization of Suspicious Lesions in Breast MRI Based on Supervised and Unsupervised Learning

Ítems similars

• On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data
  per: Saalbach, Axel, et al.
  Publicat: (2009)
• Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI
  per: A. Meyer-Baese, et al.
  Publicat: (2009-01-01)
• Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI
  per: Meyer-Baese, A., et al.
  Publicat: (2009)
• Automated lesion detection on MRI scans using combined unsupervised and supervised methods
  per: Guo, Dazhou, et al.
  Publicat: (2015)
• Classification of Small Contrast Enhancing Breast Lesions in Dynamic Magnetic Resonance Imaging Using a Combination of Morphological Criteria and Dynamic Analysis Based on Unsupervised Vector-Quantization
  per: Schlossbauer, Thomas, et al.
  Publicat: (2008)