A novel deep learning-based approach to high accuracy breast density estimation in digital mammography.
Chul Kyun AhnChangyong HeoHeongmin JinJong Hyo KimPublished in: Medical Imaging: Computer-Aided Diagnosis (2017)
Keyphrases
- density estimation
- digital mammography
- deep learning
- digital mammograms
- unsupervised learning
- mixture model
- computer aided diagnosis
- breast cancer
- machine learning
- density function
- probability density function
- weakly supervised
- gaussian mixture model
- mental models
- data mining
- em algorithm
- semi supervised
- classification accuracy
- image segmentation