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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 6, JUNE 2016

A Review: Liver Cancer Detection Algorithm

Abhijeet Patil, Prof. Mrs. V. S. Kulkarni

DOI: 10.17148/IJARCCE.2016.56194

Abstract: The liver is the largest internal organ in the human body. It performs a multiplicity of life sustaining functions and fundamentally affects every physiological process in the body. The liver is the second organ most normally involved by metastatic disease, being liver cancer one of the prominent causes of death worldwide. The early detection and diagnosis of liver tumor is consequential for the detection of liver tumor. Medical image processing is used as a non-invasive method to detect tumors. Many techniques have been developed for the detection of liver tumor utilizing the aberrant lesion size and shape. This paper reviews many different liver tumor detection algorithms and methodologies utilized for liver tumor diagnosis. The novel methodology for the detection and diagnosis of liver tumor is additionally proposed in this paper for the detection and diagnosis of liver tumor.



Keywords: liver tumor segmentation, CT image, computed tomography.

How to Cite:

[1] Abhijeet Patil, Prof. Mrs. V. S. Kulkarni, “A Review: Liver Cancer Detection Algorithm,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.56194