Deep learning-based automatic prostate segmentation in 3D transrectal ultrasound images from multiple acquisition geometries and systems.
Nathan OrlandoDerek J. GilliesIgor GyacskovAaron FensterPublished in: Medical Imaging: Image-Guided Procedures (2020)
Keyphrases
- prostate segmentation
- transrectal ultrasound
- automated segmentation
- prostate cancer
- texture information
- speckle noise
- magnetic resonance
- segmentation result
- input image
- mr images
- segmentation method
- ultrasound images
- color information
- multiple objects
- low contrast
- ground truth
- registration accuracy
- image segmentation
- maximum likelihood
- face recognition
- speckle reduction
- feature extraction
- denoising
- image processing
- test images