Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI

Gelijkaardige items

• Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks
  door: Antropova, Natalia, et al.
  Gepubliceerd in: (2018)
• A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI
  door: Hu, Qiyuan, et al.
  Gepubliceerd in: (2020)
• Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods
  door: Whitney, Heather M., et al.
  Gepubliceerd in: (2019)
• Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers
  door: Whitney, Heather M., et al.
  Gepubliceerd in: (2019)
• Harmonization of radiomic features of breast lesions across international DCE-MRI datasets
  door: Whitney, Heather M., et al.
  Gepubliceerd in: (2020)