Automatic quantification of mammary glands on non-contrast x-ray CT by using a novel segmentation approach

@inproceedings{Zhou2016AutomaticQO,
  title={Automatic quantification of mammary glands on non-contrast x-ray CT by using a novel segmentation approach},
  author={Xiangrong Zhou and Takuya Kano and Yunliang Cai and S. Li and Xinxin Zhou and Takeshi Hara and Ryujiro Yokoyama and Hiroshi Fujita},
  booktitle={SPIE Medical Imaging},
  year={2016}
}
This paper describes a brand new automatic segmentation method for quantifying volume and density of mammary gland regions on non-contrast CT images. The proposed method uses two processing steps: (1) breast region localization, and (2) breast region decomposition to accomplish a robust mammary gland segmentation task on CT images. The first step detects two minimum bounding boxes of left and right breast regions, respectively, based on a machine-learning approach that adapts to a large… 

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Automated segmentation of mammary gland regions in non-contrast X-ray CT images

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