Prostate Segmentation Based on Variant Scale Patch and Local Independent Projection

@article{Wu2014ProstateSB,
  title={Prostate Segmentation Based on Variant Scale Patch and Local Independent Projection},
  author={Yao Wu and Guoqing Liu and Meiyan Huang and Jun Jiang and Wei Yang and Wufan Chen and Qianjin Feng},
  journal={IEEE Transactions on Medical Imaging},
  year={2014},
  volume={33},
  pages={1290-1303}
}
Accurate segmentation of the prostate in computed tomography (CT) images is important in image-guided radiotherapy; however, difficulties remain associated with this task. In this study, an automatic framework is designed for prostate segmentation in CT images. We propose a novel image feature extraction method, namely, variant scale patch, which can provide rich image information in a low dimensional feature space. We assume that the samples from different classes lie on different nonlinear… CONTINUE READING
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