Survey on Liver Segmentation Schemes in CT Images

Authors(2) :-Sakshi Thapa, Baij Nath Kaushik

In the field of medical image processing, the segmentation of liver in computed tomography images are of enormous significance. Dividing schemes into two categories that are semi-automatic and fully automatic schemes. Both classes have some techniques, approximation, related queries; some drawbacks will be described and clarified. To obtain a liver segmentation, there is an analysis on methods for segmentation of liver as well as techniques using computed tomography images are shown. Following the relative study for liver segmentation schemes various measurements, scoring for liver segmentation are given; advantages and disadvantages of techniques will be emphasized carefully. Several faults and difficulties of the suggested methods are still to be focused.

Authors and Affiliations

Sakshi Thapa
Shri Mata Vaishno Devi University, Kakryal, Katra, J&K, , India
Baij Nath Kaushik
Shri Mata Vaishno Devi University, Kakryal, Katra, J&K, , India

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Publication Details

Published in : Volume 2 | Issue 7 | September 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 219-225
Manuscript Number : CSEIT174427
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sakshi Thapa, Baij Nath Kaushik , "Survey on Liver Segmentation Schemes in CT Images", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.219-225, September-2017.
Journal URL : http://ijsrcseit.com/CSEIT174427

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