Transferring Learned Microcalcification Group Detection from 2D Mammography to 3D Digital Breast Tomosynthesis Using a Hierarchical Model and Scope-based Normalization Features.
Yin YinSergei V. FotinHrishikesh HaldankarJeffrey W. HoffmeisterSenthil PeriaswamyPublished in: CoRR (2016)
Keyphrases
- digital mammograms
- benign and malignant
- digital mammography
- hierarchical model
- mammogram images
- breast cancer
- mammographic images
- breast cancer diagnosis
- false positives
- computer aided diagnosis
- early detection of breast cancer
- low contrast
- receiver operating characteristic
- co occurrence
- computer aided
- feature vectors
- cad systems
- hierarchical models
- graphical models
- prior knowledge
- latent variables
- human body
- feature extraction
- image sequences
- breast cancer detection
- machine learning