Liver Tumor Segmentation Using SVM Framework and Pathology Characterization Using Content-Based Image Retrieval-Reference-Cited by-同舟云学术

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Liver Tumor Segmentation Using SVM Framework and Pathology Characterization Using Content-Based Image Retrieval

Published:2015-02-13 Issue: Volume: Page:325-360
ISSN:
Container-title:Biomedical Image Understanding
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Author:

Zhou Jiayin,Chi Yanling,Huang Weimin,Xiong Wei,Chen Wenyu,Liu Jimin,Venkatesh Sudhakar K.

Publisher

John Wiley & Sons, Inc

Reference49 articles.

1. J. Y. Zhou W. Huang W. Xiong W. Chen S. K. Venkatesh Segmentation of hepatic tumor from abdominal CT data using an improved support vector machine framework 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2013

2. Epidemiology of primary liver cancer;Bosch;Seminars in Liver Disease,1999

3. Global cancer statistics in the year 2000;Parkin;Lancet Oncology,2001

4. Rising incidence of hepatocellular carcinoma in the United States;El Serag;New England Journal of Medicine,1999

5. Primary liver cancer: worldwide incidence and trends;Bosch;Gastroenterology,2004

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1. Automated Classification of Hepatocellular Carcinoma (HCC) Images for Detection of Malignant Tumor Using HOG Technique;Proceedings of International Conference on Data Science and Applications;2021-11-23

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