Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning.
Benjamin Q. HuynhNatasha AntropovaMaryellen L. GigerPublished in: Medical Imaging: Computer-Aided Diagnosis (2017)
Keyphrases
- dce mri
- benign and malignant
- transfer learning
- contrast enhancement
- mri data
- convolutional neural network
- breast cancer
- anatomical structures
- breast mri
- prostate cancer
- active contour model
- computer aided diagnosis
- labeled data
- image enhancement
- gray level
- curve fitting
- active learning
- semi supervised learning
- model driven
- machine learning
- color images
- magnetic resonance images
- cross domain
- computer aided
- unlabeled data
- feature extraction
- multiscale
- magnetic resonance imaging
- data points
- text mining
- medical images
- mr images
- feature vectors
- synthetic data
- reinforcement learning
- multi class
- shape model
- white matter
- image analysis
- feature space
- machine learning algorithms
- text classification