Combining deep learning and model-based segmentation for labeled spine CT segmentation.
Christian BürgerJens von BergAstrid FranzTobias KlinderCristian LorenzMatthias LengaPublished in: Medical Imaging: Image Processing (2020)
Keyphrases
- model based segmentation
- deep learning
- segmentation method
- accurate segmentation
- left atrium
- medical images
- statistical shape model
- unsupervised learning
- machine learning
- ct images
- image segmentation
- low contrast
- supervised learning
- weakly supervised
- ct data
- computer tomography
- automatic segmentation
- mental models
- training data
- region growing
- shadow detection
- ct scans
- three dimensional
- ground truth
- segmentation algorithm
- computed tomography
- medical imaging
- higher order
- pixel level
- active contours
- mr images