Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization

@article{Bereciartua2015Automatic3M,
  title={Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization},
  author={Arantza Bereciartua and Artzai Pic{\'o}n and Adrian Galdran and Pedro M. Iriondo},
  journal={Biomed. Signal Proc. and Control},
  year={2015},
  volume={20},
  pages={71-77}
}
Abstract Liver cancer is one of the leading causes of cancer-related mortality worldwide. Non-invasive techniques of medical imaging such as Computerized Tomography (CT) and Magnetic Resonance Imaging (MRI) are often used by radiologists for diagnosis and surgery planning. With the aim of assuring the most reliable intervention planning to surgeons, new accurate methods and tools must be provided to locate and segment the regions of interest. Automated liver segmentation is a challenging… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

Total Variation in Imaging

  • Handbook of Mathematical Methods in Imaging
  • 2015
VIEW 1 EXCERPT