Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN.
Xuanang XuFugen ZhouBo LiuPublished in: Int. J. Comput. Assist. Radiol. Surg. (2018)
Keyphrases
- ct images
- fully connected
- medical images
- conditional random fields
- liver segmentation
- medical imaging
- pet ct
- lung nodules
- computed tomography
- computer tomography
- fully automatic
- fracture detection
- pet images
- ct scans
- lung parenchyma
- treatment planning
- segmentation method
- recurrent neural networks
- ground glass opacity
- image segmentation
- region of interest
- deformable models
- scale free
- graphical models
- mr images
- image analysis
- probabilistic model
- segmentation algorithm
- higher order
- medical image processing
- level set
- information extraction
- image registration
- radiation therapy
- region growing
- x ray
- accurate segmentation
- generative model
- magnetic resonance imaging
- hidden markov models
- image processing