Review on Automatic Segmentation Techniques in Medical Images

Authors(2) :-Jithy P K, Philomina Simon

Automatic image segmentation has a greater significance in medical imaging. Accurate segmentation poses a serious challenge in medical diagnosis. Manual detection and analysis of region of interest from medical images may lead to false positives thereby making the patient diagnosis difficult. This paper focuses on the segmentation techniques in medical imaging. This paper investigates different approaches and issues in automatic image segmentation in various types of medical images and comparative analysis is carried out.

Authors and Affiliations

Jithy P K
Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram, Kerala, India
Philomina Simon
Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram, Kerala, India

Medical Image Segmentation, Lung images, Fundus images, Liver MRI, Brain MRI, Cardiac MRI, Automatic Image Segmentation

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 39-45
Manuscript Number : CSEIT17244
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jithy P K, Philomina Simon, "Review on Automatic Segmentation Techniques in Medical Images ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.39-45 , July-August-2017.
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