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Title: A survey on liver tumor detection and segmentation methods
Authors: R. Rajagopal, P. Subbaiah
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2015
Volume: 10
Issue: 6
Language: English
Liver tumor is a pathological disorder of the human that affects around 50 million people worldwide. The early detection and diagnosis of liver tumor is important for the prevention of liver tumor. Many techniques have been developed for the detection of liver tumor using the abnormal lesion size and shape. This paper reviews various lung tumor detection algorithms and methodologies used for lung tumor diagnosis. The novel methodology for the detection and diagnosis of liver tumor is also proposed in this paper and its experimental results are compared with various methodologies for the detection and diagnosis of liver tumor.
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