Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images.
Weixi YiVasilis StavrinidesZachary M. C. BaumQianye YangDean C. BarrattMatthew J. ClarksonYipeng HuShaheer U. SaeedPublished in: CoRR (2023)
Keyphrases
- prostate segmentation
- reinforcement learning
- weakly supervised
- segmentation result
- transrectal ultrasound
- superpixels
- automated segmentation
- imaging artifacts
- texture information
- prostate cancer
- segmentation method
- mr images
- magnetic resonance
- speckle noise
- segmentation algorithm
- image features
- input image
- state space
- image database
- image data
- region growing
- registration accuracy
- multiple images
- ground truth
- image retrieval
- three dimensional
- trans rectal
- deformable models
- manual segmentation
- machine learning
- edge detection
- image registration
- image processing