Automatic segmentation of liver/kidney area with double-layered fuzzy C-means and the utility of hepatorenal index for fatty liver severity classification-Reference-Cited by-同舟云学术

Automatic segmentation of liver/kidney area with double-layered fuzzy C-means and the utility of hepatorenal index for fatty liver severity classification

Published:2020-07-17 Issue:1 Volume:39 Page:925-936
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Kim Kwang Baek¹,Kim Gwang Ha²,Song Doo Heon³,Park Hyun Jun⁴,Kim Chang Won⁵

Affiliation:

1. Division of Computer Software Engineering, Silla University, Busan, Korea

2. Department of Internal Medicine, School of Medicine and Biomedical Research Institute, Pusan National University, Pusan National University Hospital, Busan, Korea

3. Department of Computer Games, Yong-in SongDam College, Yongin, Korea

4. Division of Software Convergence, Cheongju University, Cheongju, Korea

5. Department of Radiology, School of Medicine and Biomedical Research Institute, Pusan National University, Pusan National University Hospital, Busan, Korea

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference48 articles.

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3. Asia–Pacific Working Party on NAFLD1, How common is non-alcoholic fatty liver disease in the Asia–Pacific region and are there local differences?;Amarapurkar;Journal of Gastroenterology and Hepatology,2007

4. Association of nonalcoholic fatty liver disease with components of metabolic syndrome according to body mass index in Korean adults;Kwon;The American Journal of Gastroenterology,2012

5. Disease progression of non-alcoholic fatty liver disease: a prospective study with paired liver biopsies at 3 years;Wong;Gut,2010

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