Interpretable deep learning regression for breast density estimation on MRI.
Bas H. M. van der VeldenMax A. A. RagusiMarkus H. A. JanseClaudette E. LooKenneth G. A. GilhuijsPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- density estimation
- deep learning
- magnetic resonance imaging
- unsupervised learning
- mixture model
- magnetic resonance images
- probability density function
- medical images
- outlier detection
- model selection
- weakly supervised
- parzen window
- machine learning
- mri data
- mr images
- expectation maximization
- gaussian mixture model
- em algorithm
- mental models
- bayesian framework
- supervised learning
- semi supervised
- high resolution
- training data
- face recognition