Automatic liver parenchyma segmentation from abdominal CT images using support vector machines

@article{Luo2009AutomaticLP,
  title={Automatic liver parenchyma segmentation from abdominal CT images using support vector machines},
  author={Suhuai Luo and Qingmao Hu and Xiangjian He and Jiaming Li and Jesse S. Jin and Mira Park},
  journal={2009 ICME International Conference on Complex Medical Engineering},
  year={2009},
  pages={1-5}
}
This paper presents an automatic liver parenchyma segmentation algorithm that can segment liver in abdominal CT images. There are three major steps in the proposed approach. Firstly, a texture analysis is applied to input abdominal CT images to extract pixel level features. In this step, wavelet coefficients are used as texture descriptors. Secondly, support vector machines (SVMs) are implemented to classify the data into pixel-wised liver area or non-liver area. Finally, integrated… CONTINUE READING
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