A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk.
Ahmed Bilal AshrafSara GavenonisDania DayeCarolyn MiesMark A. RosenDespina KontosPublished in: IEEE Trans. Medical Imaging (2013)
Keyphrases
- markov random field
- gene expression
- breast cancer
- microarray
- gene expression data
- microarray data
- parameter estimation
- gene expression profiles
- belief propagation
- classification accuracy
- feature selection
- graph cuts
- gene expression analysis
- logistic regression
- higher order
- pairwise
- feature extraction
- decision trees
- energy function
- energy minimization
- probabilistic model
- multiscale
- maximum a posteriori
- high dimensionality
- image segmentation
- microarray datasets
- text mining
- image processing
- cancer diagnosis
- machine learning