Presentation 2012-01-20
Computerized extraction of vessel regions in retinal fundus images : Performance evaluation using DRIVE Database
Shota URUMA, Yoshikazu UCHIYAMA, Prochazka ZDENEK, Yuji HATANAKA, Chisako MURAMATSU, Takeshi HARA, Junji SHIRAISHI, Hiroshi FUJITA,
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Abstract(in English) Blood vessel extraction is one important component technology of computer-aided diagnosis for the retinal fundus images. We developed a morphology filter bank for the enhancement of vessel regions in retinal fundus images. By using morphology filter bank, nodular patterns and linear patterns of various sizes can be enhanced. We applied our method to 40 images in the DRIVE database. The results indicated that mean area under the ROC curve was 0.919. Therefore, our method would be useful for the extraction of blood vessels in the retinal fundus images.
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Keyword(in English) Retinal fundus image / Vessel Extraction / Morphology Filter bank / Computer-aided diagnosis
Paper # MI2011-134
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Committee MI
Conference Date 2012/1/12(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Computerized extraction of vessel regions in retinal fundus images : Performance evaluation using DRIVE Database
Sub Title (in English)
Keyword(1) Retinal fundus image
Keyword(2) Vessel Extraction
Keyword(3) Morphology Filter bank
Keyword(4) Computer-aided diagnosis
1st Author's Name Shota URUMA
1st Author's Affiliation Dept. of Electrical, Electronic Information Engineering, Oita National College of Technology()
2nd Author's Name Yoshikazu UCHIYAMA
2nd Author's Affiliation Faculty of Life Sciences, Kumamoto University
3rd Author's Name Prochazka ZDENEK
3rd Author's Affiliation Dept. of Electrical, Electronic Information Engineering, Oita National College of Technology
4th Author's Name Yuji HATANAKA
4th Author's Affiliation Dept. of Electronic Systems Eng., School of Eng., Univ. of Shiga Pref.
5th Author's Name Chisako MURAMATSU
5th Author's Affiliation Dept. of Intelligent Image Information, Graduate School of Medicine, Gifu University
6th Author's Name Takeshi HARA
6th Author's Affiliation Dept. of Intelligent Image Information, Graduate School of Medicine, Gifu University
7th Author's Name Junji SHIRAISHI
7th Author's Affiliation Faculty of Life Sciences, Kumamoto University
8th Author's Name Hiroshi FUJITA
8th Author's Affiliation Dept. of Intelligent Image Information, Graduate School of Medicine, Gifu University
Date 2012-01-20
Paper # MI2011-134
Volume (vol) vol.111
Number (no) 389
Page pp.pp.-
#Pages 4
Date of Issue