Presentation 2007-07-11
Automated detection for architectural distortion based on assessment of concentration of mammary gland on mammograms
Takanari MAKITA, Tomoko MATSUBARA, Takeshi HARA, Hiroshi FUJITA, Tokiko ENDO, Takuji IWASE,
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Abstract(in English) Mammography is best role for the early detection of breast cancer. Because of this, it has been introduced in mass screening. At the same time, it is expected to develop the computer-aided diagnosis system that provide radiologist with a second opinion. We have developed an automated detection method for architectural distortion that is difficult to diagnose. In this paper, we investigated the detection accuracy of our method by using Digital Database for Screening Mammography(DDSM) as well as our database.
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Keyword(in English) Breast cancer / Architectural Distortion / Mammogram / Computer-aided diagnosis
Paper # MI2007-30
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Committee MI
Conference Date 2007/7/4(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automated detection for architectural distortion based on assessment of concentration of mammary gland on mammograms
Sub Title (in English)
Keyword(1) Breast cancer
Keyword(2) Architectural Distortion
Keyword(3) Mammogram
Keyword(4) Computer-aided diagnosis
1st Author's Name Takanari MAKITA
1st Author's Affiliation Graduate School of Medicine, Gifu University()
2nd Author's Name Tomoko MATSUBARA
2nd Author's Affiliation School of Information Culture, Nagoya Bunri University
3rd Author's Name Takeshi HARA
3rd Author's Affiliation Graduate School of Medicine, Gifu University
4th Author's Name Hiroshi FUJITA
4th Author's Affiliation Graduate School of Medicine, Gifu University
5th Author's Name Tokiko ENDO
5th Author's Affiliation Nagoya Medical Center
6th Author's Name Takuji IWASE
6th Author's Affiliation Cancer Institute Hospital
Date 2007-07-11
Paper # MI2007-30
Volume (vol) vol.107
Number (no) 133
Page pp.pp.-
#Pages 4
Date of Issue