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DOI: 10.14569/IJACSA.2016.071235
PDF

Overview of Technical Elements of Liver Segmentation

Author 1: Nazish Khan
Author 2: Imran Ahmed
Author 3: Mehreen Kiran
Author 4: Awais Adnan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 12, 2016.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Liver diseases are life-threatening, it’s important to detect it tumor in early stages. So, for tumor detection Segmentation of the liver is a first and significant stride. Segmentation of the liver is a yet difficult undertaking in view of its intra patient variability in intensity, shape and size of the liver. The aim of this paper is to assemble a wide assortment of techniques and used CT scan dataset information for liver segmentation that will provide a decent beginning to the new researcher. There are different strategies from basic to advance like thresholding, active contour, region growing to graph cut is briefly abridge to give an outline of existing segmentation strategies. We review the concept of particular strategies and review their original ideas. Our idea is to provide information under which condition a chosen strategy will work or utilize.

Keywords: component; CT Scan; Liver; Dataset; Segmentation technique

Nazish Khan, Imran Ahmed, Mehreen Kiran and Awais Adnan, “Overview of Technical Elements of Liver Segmentation” International Journal of Advanced Computer Science and Applications(IJACSA), 7(12), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071235

@article{Khan2016,
title = {Overview of Technical Elements of Liver Segmentation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071235},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071235},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {12},
author = {Nazish Khan and Imran Ahmed and Mehreen Kiran and Awais Adnan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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