Simultaneous MR knee image segmentation and bias field correction using deep learning and partial convolution.
Fengkai WanÖrjan SmedbyChunliang WangPublished in: Medical Imaging: Image Processing (2019)
Keyphrases
- bias field
- deep learning
- image segmentation
- magnetic resonance images
- mr images
- image intensity
- inhomogeneity correction
- mr brain images
- image processing
- unsupervised learning
- brain tissue
- medical imaging
- magnetic resonance
- level set functions
- multiscale
- level set method
- energy function
- active contours
- machine learning
- medical images
- level set
- segmentation method
- deformable models
- segmentation algorithm
- graph cuts
- imaging process
- computer vision
- intensity inhomogeneity
- weakly supervised
- mental models
- automatic segmentation
- region merging
- object segmentation
- model based segmentation
- region growing
- markov random field
- energy functional
- superpixels
- brain tumors
- expectation maximization
- super resolution
- supervised learning
- feature space