IJERT-EMS
IJERT-EMS

Fully Automatic Detection Of Liver Lesions In Real Abdominal CT Images


Fully Automatic Detection Of Liver Lesions In Real Abdominal CT Images
Authors : Devendra Joshi, Dr. Narendra D. Londhe
Publication Date: 04-04-2013

Authors

Author(s):  Devendra Joshi, Dr. Narendra D. Londhe

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.2 - Issue 4 (April - 2013)

e-ISSN:   2278-0181

Abstract

Computer aided diagnosis and treatment is now in regular practice and it provides the radiologist the early detection of suspicious regions in the various types of medical images. The image segmentation is the most significant and integral part of such diagnosis systems which need to provide the speedy and precise detection of metastases. This manuscript presents the study of liver tumor detection in real abdominal CT images. For this two segmentation methods are evaluated and compared. Firstly, the newly proposed method which includes the segmentation based on adaptive threshold set splitted regions and later merged to form a complete segmented image. Secondly, the well-established watershed algorithm is used whose results are compared with first method. For this study, especial low contrast difference abdominal CT images are used.

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