Hepatic Hemangioma Segmentation from Abdominal CT Images
Authors: 
Bei Hui, Dan Zhang, Jia Chen, Lin Ji, JiaJun QiuAuthors Info & Claims
Bei Hui, Dan Zhang, Jia Chen, Lin Ji, JiaJun QiuAuthors Info & ClaimsPages 234 - 237
Abstract
Hepatic Hemangioma is a benign tumor in the liver that is more likely to cause complications if the hemangioma is too large. In the thesis, the images of Hepatic Hemangioma are segmented via various image segmentation techniques. A total 72 HEM cases provided by West China Hospital, Sichuan University that had been manually segmented as the gold standard for segmentation. The main aim of this work is to compare the results of the segmentation of these hepatic hemangioma images through various image processing techniques with the gold standard by experts' experience to get a better segmentation method, which includes: 1. Regional Growth; 2. Regional Growth Combined with Watershed Algorithm; 3. Local Maximum Combined with Eight Connected Extraction.
References
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Giuli Donati M, Stavrou GA, Donati A, et al. The risk of spontaneous rupuure of liver hemangioma: a critical review of the literature {J}. J Gastrointest Surg,2011, 15(1): 209--214.
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Giuliante F, Ardito F, Vellone M, et a1, Reappraisal of Surgical indications and approach for liver hemangioma, singlecenter experience on 74 patients{J}, Am J Surg, 2011, 201(6), 741--748.
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Huang Lili,Wang Boliang, Huang Xiaoyang.Segmentation of liver tumor in CT image based on DICOM format{J}. Computer Technology and Development, 2008. 1(18): 48--51.
[4]
Vincent L, Soilh P, Watersheds in digital space; An efficient algorithm based on immersion simulation {J}. IEEE Translations on pattern Analysis and Machine Interpretation, 1991, 13(6): 583--598.
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O. Fekry, 'Liver Tumors Segmentation from Abdominal CT Images using Region Growing and Morphological Processing', 'Dept. of Electronics and Communications Engineering Zagazig University', IEEE,(2015).
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Olson, David L.; and Delen, Dursun (2008); Advanced Data Mining Techniques, Springer, 1st edition (February 1, 2008), page 138, ISBN 3-540-76916-1.
Index Terms
- Hepatic Hemangioma Segmentation from Abdominal CT Images
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Published In
May 2018
249 pages
ISBN:9781450364966
DOI:10.1145/3232116
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In-Cooperation
- Guilin: Guilin University of Technology, Guilin, China
- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 19 May 2018
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- Short-paper
- Research
- Refereed limited
Funding Sources
- the Sichuan Science and Technology Project
- the Fundamental Research Funds for the Central Universities
Conference
ICIIP '18
ICIIP '18: 2018 3rd International Conference on Intelligent Information Processing
May 19 - 20, 2018
Guilin, China
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Overall Acceptance Rate 87 of 367 submissions, 24%
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