Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI.
Natasha AntropovaBenjamin Q. HuynhMaryellen L. GigerPublished in: Medical Imaging: Computer-Aided Diagnosis (2017)
Keyphrases
- dce mri
- benign and malignant
- breast mri
- breast cancer
- mri data
- digital mammograms
- lung nodules
- deep learning
- anatomical structures
- active contour model
- image analysis
- cad systems
- data sets
- computer aided diagnosis
- prostate cancer
- contrast enhancement
- medical images
- curve fitting
- region growing
- fully automatic
- pairwise
- multiscale
- computer vision