UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 3 Issue 10
October-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1610026


Registration ID:
160451

Page Number

177-179

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Title

SURVEY ON AN EFFICIENT AUTOMATIC LIVER TUMOR DETECTION FROM CT IMAGES

Abstract

Liver cancers are one of the most popular cancers occurring now a day. The larger parts of liver carcinomas are because of liquor related cirrhosis and hepatitis. Early detection and diagnosis of liver tumor is important for the prevention of liver tumor. Since the tumor tissues and normal liver tissues have almost same intensity, it is a very difficult and challenging task to detect the liver tumor. For the accurate detection, efficient segmentation and classification methods are essential. Several techniques have been developed for the segmentation of liver tumor. Manual detection of liver tumor requires human interaction and is time consuming. As a result, automation of the tumor detection, segmentation and classification process is essential. This paper reviews different automatic segmentation techniques for the liver tumor detection.

Key Words

1.Region Growing Method 2. Thresholding Method 3. Clustering Method 4. Graph Cut Method 5. Level Based Segmentation

Cite This Article

"SURVEY ON AN EFFICIENT AUTOMATIC LIVER TUMOR DETECTION FROM CT IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 10, page no.177-179, October-2016, Available :http://www.jetir.org/papers/JETIR1610026.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SURVEY ON AN EFFICIENT AUTOMATIC LIVER TUMOR DETECTION FROM CT IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 10, page no. pp177-179, October-2016, Available at : http://www.jetir.org/papers/JETIR1610026.pdf

Publication Details

Published Paper ID: JETIR1610026
Registration ID: 160451
Published In: Volume 3 | Issue 10 | Year October-2016
DOI (Digital Object Identifier):
Page No: 177-179
Country: THRISSUR, KERALA, India .
Area: Engineering
ISSN Number: 2349-5162


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