STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation.
IEEE Transactions on Neural Networks and Learning Systems(2019)
摘要
Accurate segmentation of pelvic organs is important for prostate radiation therapy. Modern radiation therapy starts to use a magnetic resonance image (MRI) as an alternative to computed tomography image because of its superior soft tissue contrast and also free of risk from radiation exposure. However, segmentation of pelvic organs from MRI is a challenging problem due to inconsistent organ appear...
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关键词
Image segmentation,Magnetic resonance imaging,Biological systems,Feature extraction,Biomedical imaging,Task analysis,Manuals
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