Texture-Based Breast Cancer Prediction in Full-Field Digital Mammograms Using the Dual-Tree Complex Wavelet Transform and Random Forest Classification.
Emmanouil MoschidisXin ChenChristopher J. TaylorSusan M. AstleyPublished in: Digital Mammography / IWDM (2014)
Keyphrases
- digital mammograms
- benign and malignant
- breast cancer
- clustered microcalcifications
- random forest
- breast tumors
- bladder cancer
- digital mammography
- computer aided diagnosis
- microcalcification clusters
- mammographic images
- decision trees
- digitized mammograms
- ensemble classifier
- feature set
- receiver operating characteristic
- logistic regression
- cancer classification
- prediction accuracy
- texture features
- breast tissue
- computer vision
- computer aided
- image classification
- multi label
- dce mri
- lung nodules
- cad systems
- training set
- training data
- data sets