Automatic Segmentation of the Prostate on 3D Trans-rectal Ultrasound Images using Statistical Shape Models and Convolutional Neural Networks.
Golnoosh SameiDavood KarimiClaudia KeschSeptimiu SalcudeanPublished in: CoRR (2021)
Keyphrases
- automatic segmentation
- ultrasound images
- statistical shape model
- prostate segmentation
- speckle noise
- automated segmentation
- speckle reduction
- manual segmentation
- segmentation algorithm
- active shape model
- ct data
- shape model
- segmentation result
- shape variations
- prostate cancer
- ground truth data
- deformation field
- low contrast
- image segmentation
- texture information
- edge detection
- sar images
- shape prior
- region growing
- coarse to fine
- pre operative
- segmentation method
- image analysis