Improving the Classification of Cirrhotic Liver by using Texture Features.

Improving the Classification of Cirrhotic Liver by using Texture Features. Research Abstract Details 

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Improving the Classification of Cirrhotic Liver by using Texture Features. Abstract Text:

Xuejun Zhang,Hiroshi Fujita,Masayuki Kanematsu,Xiangrong Zhou,Takeshi Hara,Hiroki Kato,Ryujiro Yokoyama,Hiroaki Hoshi,

We have been developing a computer-aided diagnosis (CAD) system for distinguishing the cirrhosis in MR images by shape and texture analysis. Two shape features are calculated from a segmented liver region, and seven texture features are quantified by using grey level difference method (GLDM) within the small region-of-interests (ROIs). The degree of cirrhosis is derived from integrating the shape and texture features of the liver into a three-layer feed-forward artificial neural network (ANN). A liver is regarded as cirrhosis if the percentage of the ROIs with a degree over 0.5 is greater than 50%. The initial experimental result showed that the ANN can learn all of the patterns in the training data sets. In testing of the whole liver regions, 82% cirrhosis and 100% normal cases were correctly differentiated from 18 test cases, that indicates our proposed method is effective to the cirrhosis prediction on MRI.

Improving the Classification of Cirrhotic Liver by using Texture Features. Publishing Authors By Initials

X Zhang,H Fujita,M Kanematsu,X Zhou,T Hara,H Kato,R Yokoyama,H Hoshi,

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Improving the Classification of Cirrhotic Liver by using Texture Features. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Conference proceedings : ... Annual International

VOLUME: 1

Page Numbers: 867-70

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ISSN: 1557-170X

DAY: 6

MONTH: 02

YEAR: 2005

Improving the Classification of Cirrhotic Liver by using Texture Features. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Improving the Classification of Cirrhotic Liver by using Texture Features.

AFFILIATION: Dept. of Intelligent Image Inf., Gifu Univ.

Country: United States

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MEDLINETA: Conf Proc IEEE Eng Med Biol So

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