Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation.
Stijn De BuckJeroen BertelsChelsey VanbilsenTanguy DewaeleChantal Van OngevalHilde BosmansJan VandevennePaul SuetensPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- breast cancer
- deep learning
- ct images
- medical images
- computer aided diagnosis
- ground glass opacity
- medical imaging
- lung nodules
- dce mri
- computed tomography
- logistic regression
- unsupervised learning
- segmentation algorithm
- ct scans
- automated segmentation
- three dimensional
- image segmentation
- weakly supervised
- segmentation method
- breast tissue
- image analysis
- machine learning
- anatomical structures
- multiscale
- x ray
- mental models
- deformable models
- region of interest
- lymph nodes
- ct data
- lung cancer
- risk factors
- magnetic resonance images
- computer aided
- bayesian networks
- image processing
- decision making