Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images.
Christoph HaarburgerPeter LangenbergDaniel TruhnHannah SchneiderJohannes ThüringSimone SchradingChristiane K. KuhlDorit MerhofPublished in: Bildverarbeitung für die Medizin (2018)
Keyphrases
- breast cancer
- mr images
- dynamic contrast enhanced
- dce mri
- computer aided diagnosis
- medical images
- magnetic resonance
- mri data
- text classification
- magnetic resonance images
- manual segmentation
- breast tissue
- breast mri
- nonrigid registration
- logistic regression
- lung nodules
- machine learning
- accurate segmentation
- image data
- cad systems
- classification accuracy
- support vector
- prostate cancer
- brain tumors
- labeled data
- decision trees
- feature extraction
- clinical data
- ct images
- anatomical structures
- contrast enhanced
- feature selection
- data sets
- unlabeled data