HIFUNet: Multi-Class Segmentation of Uterine Regions From MR Images Using Global Convolutional Networks for HIFU Surgery Planning.
Chen ZhangHuazhong ShuGuanyu YangFaqi LiYingang WenQin ZhangJean-Louis DillensegerJean-Louis CoatrieuxPublished in: IEEE Trans. Medical Imaging (2020)
Keyphrases
- multi class
- mr images
- accurate segmentation
- segmentation result
- medical images
- magnetic resonance
- manual segmentation
- magnetic resonance images
- brain tumors
- automatic segmentation
- minimally invasive
- support vector machine
- pairwise
- segmentation algorithm
- nonrigid registration
- image data
- computer tomography
- prostate cancer
- clinical applications
- feature selection
- soft tissue
- pre operative
- segmentation method
- three dimensional
- automated segmentation
- medical diagnosis
- imaging modalities
- active shape model
- medical image analysis
- anatomical structures
- shape prior
- ct images
- image analysis
- image segmentation