End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammograms.
Sjoerd A. M. TunissenAndrea MottaFranziska MauterEloy GarcíaOliver DíazJohn M. BooneIoannis SechopoulosMarco CaballoPublished in: Medical Imaging: Computer-Aided Diagnosis (2023)
Keyphrases
- end to end
- deep learning
- preliminary study
- pectoral muscle
- breast tissue
- computer aided diagnosis
- mammographic images
- breast cancer
- unsupervised feature learning
- unsupervised learning
- breast mri
- digitized mammograms
- digital mammograms
- mental models
- congestion control
- machine learning
- textural features
- discriminating power
- computer aided
- benign and malignant
- cad systems
- medical images
- weakly supervised
- dce mri
- learning algorithm
- reinforcement learning
- feature selection