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: MLMI@MICCAI (1) (2023)
Keyphrases
- prostate segmentation
- reinforcement learning
- weakly supervised
- segmentation result
- automated segmentation
- texture information
- imaging artifacts
- superpixels
- transrectal ultrasound
- prostate cancer
- segmentation method
- segmentation algorithm
- ground truth
- image database
- mr images
- magnetic resonance
- image data
- three dimensional
- multiscale
- speckle noise
- input image
- registration accuracy
- state space
- image sequences
- object detection
- object recognition
- pairwise
- image retrieval
- object detectors
- image features
- multiple images
- test images
- edge detection