Presentation 2011-01-20
CT Image Contrast Enhancement and Liver Tumor Detection by using Probability Density Functions and EM/MPM Algorithms
Yu Masuda, Tomoko Tateyama, Wei Xiong, Jiayin Zhou, Makoto Wakamiya, Shuzo Kanasaki, Akira Furukawa, Yen Wei CHEN,
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Abstract(in English) There are many methods for detecting Liver tumor. And those methods are based on intensity information. However, if the contrast of CT images is low, it is difficult to detect the tumor accurately. In this paper, we propose a contrast enhancement method based on probability density function which can be obtained from training data. After preprocessing of contrast enhancement, we use an EMJMPM algorithm to detect the tumor.
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Keyword(in English) Liver tumor / CT image / Probability density function / EM/MPM algorithm
Paper # PRMU2010-153,MVE2010-78
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Committee MVE
Conference Date 2011/1/13(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) CT Image Contrast Enhancement and Liver Tumor Detection by using Probability Density Functions and EM/MPM Algorithms
Sub Title (in English)
Keyword(1) Liver tumor
Keyword(2) CT image
Keyword(3) Probability density function
Keyword(4) EM/MPM algorithm
1st Author's Name Yu Masuda
1st Author's Affiliation Department of Science and Engineering, Ritsumeikan Univertisy()
2nd Author's Name Tomoko Tateyama
2nd Author's Affiliation Department of Science and Engineering, Ritsumeikan Univertisy
3rd Author's Name Wei Xiong
3rd Author's Affiliation Institute for Infocomm Research
4th Author's Name Jiayin Zhou
4th Author's Affiliation Institute for Infocomm Research
5th Author's Name Makoto Wakamiya
5th Author's Affiliation Shiga University of Medical Science
6th Author's Name Shuzo Kanasaki
6th Author's Affiliation Shiga University of Medical Science
7th Author's Name Akira Furukawa
7th Author's Affiliation Shiga University of Medical Science
8th Author's Name Yen Wei CHEN
8th Author's Affiliation Department of Science and Engineering, Ritsumeikan Univertisy
Date 2011-01-20
Paper # PRMU2010-153,MVE2010-78
Volume (vol) vol.110
Number (no) 382
Page pp.pp.-
#Pages 6
Date of Issue