Automatic MR prostate segmentation by deep learning with holistically-nested networks.
Ruida ChengHolger R. RothNathan LayLe LuBaris TurkbeyWilliam GandlerEvan S. McCreedyPeter L. ChoykeRonald M. SummersMatthew J. McAuliffePublished in: Medical Imaging: Image Processing (2017)
Keyphrases
- deep learning
- prostate segmentation
- magnetic resonance
- unsupervised learning
- mr images
- machine learning
- prostate cancer
- automated segmentation
- medical images
- speckle noise
- image registration
- fully automatic
- texture information
- weakly supervised
- image data
- object detection
- mental models
- segmentation result
- similarity measure