Liver Segmentation Techniques of CT Images for Clinical Diagnosis
Anusha Linda Kostka. J E.1, S. Vinila Jinny2
1Anusha Linda Kostka. J. E*, Pursuing her Post-Graduation in Computer Science and Engineering in Noorul Islam Centre for Higher Education.
2S. Vinila Jinny, Working as Associate Professor, Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumara Coil.
Manuscript received on October 16, 2019. | Revised Manuscript received on 27 October, 2019. | Manuscript published on November 10, 2019. | PP: 2381-2384 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4157119119/2019©BEIESP | DOI: 10.35940/ijitee.A4157.119119
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Abstract: Liver Segmentation has become one of the most efficient and systematic tasks in the case of medical applications. Recently, the segmentation of liver has found its part in the research areas also. It has become a common feature to hinder the accurate and the proper segmentation of the liver intensities and its neighbor organs in the human body. Different techniques of liver segmentation can be performed with CT images, MRI images and PET. Among these CT images have a wide application in the detection, identification and segmentation of the liver deficiencies. Manual segmentation of the liver seems to be more time consuming yielding less precision and robustness. Nowadays, many techniques have been developed for the segmentation of liver that are more efficient, fast with accurate as well as better results than the traditional methods.
Keywords: Liver, Segmentation, CT, MRI
Scope of the Article: Design and Diagnosis