Presentation 2009-11-13
Detecting Masses in Mammograms Using Mean Shift Segmentation and Iris-Filter
Toshihiko TERADA, Yohei FUKUMIZU, Hironori YAMAUCHI, Hirotomi CHOU, Yoshimasa KURUMI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, many Computer Aided Diagnosis (CAD) systems are suggested. Those systems will be able to diagnose instead of a doctor, thus they will be expected to reduce heavy burdens on the doctor during diagnosis. The purpose of this study is to improve detection sensitivity for masses reducing the number of false positives. In the proposed method, we focused on brightness and density of masses, thus we applied mean shift segmentation. After the segmentation, we obtained concentration of gradient vectors using Iris-Filter and detected mass regions. According to the field test with a doctor, the proposed system was tested with 91 mammograms containing 60 masses. In the result of a performance test, a sensitivity of 91.7% was obtained at 1.57 false positives per image.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Mammography / CAD / mass / mean shift / iris-filter
Paper # MBE2009-65
Date of Issue

Conference Information
Committee MBE
Conference Date 2009/11/5(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detecting Masses in Mammograms Using Mean Shift Segmentation and Iris-Filter
Sub Title (in English)
Keyword(1) Mammography
Keyword(2) CAD
Keyword(3) mass
Keyword(4) mean shift
Keyword(5) iris-filter
1st Author's Name Toshihiko TERADA
1st Author's Affiliation Ritsumeikan University()
2nd Author's Name Yohei FUKUMIZU
2nd Author's Affiliation Ritsumeikan University
3rd Author's Name Hironori YAMAUCHI
3rd Author's Affiliation Ritsumeikan University
4th Author's Name Hirotomi CHOU
4th Author's Affiliation Shiga University of Medical Science
5th Author's Name Yoshimasa KURUMI
5th Author's Affiliation Shiga University of Medical Science
Date 2009-11-13
Paper # MBE2009-65
Volume (vol) vol.109
Number (no) 279
Page pp.pp.-
#Pages 6
Date of Issue