Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching.

IEEE Transactions on Medical Imaging(2017)

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摘要
Automatic and reliable segmentation of the prostate is an important but difficult task for various clinical applications such as prostate cancer radiotherapy. The main challenges for accurate MR prostate localization lie in two aspects: (1) inhomogeneous and inconsistent appearance around prostate boundary, and (2) the large shape variation across different patients. To tackle these two problems, ...
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关键词
Image segmentation,Shape,Machine learning,Deformable models,Feature extraction,Cancer,Biomedical imaging
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