オゴハラ カズノリ   OGOHARA Kazunori
  小郷原 一智
   所属   京都産業大学  理学部 宇宙物理・気象学科
   職種   准教授
言語種別 英語
発行・発表の年月 2014
形態種別 研究論文(国際会議プロシーディングス)
査読 査読あり
標題 Improved Automated Optic Cup Segmentation Based on Detection of Blood Vessel Bends in Retinal Fundus Images
執筆形態 その他
掲載誌名 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
出版社・発行元 IEEE
巻・号・頁 pp.126-129
著者・共著者 Yuji Hatanaka,Yuuki Nagahata,Chisako Muramatsu,Susumu Okumura,Kazunori Ogohara,Akira Sawada,Kyoko Ishida,Tetsuya Yamamoto,Hiroshi Fujita
概要 Glaucoma is a leading cause of permanent blindness. Retinal imaging is useful for early detection of glaucoma. In order to evaluate the presence of glaucoma, ophthalmologists may determine the cup and disc areas and diagnose glaucoma using a vertical optic cup-to-disc (C/D) ratio and a rim-to-disc (R/D) ratio. Previously we proposed a method to determine cup edge by analyzing a vertical profile of pixel values, but this method provided a cup edge smaller than that of an ophthalmologist. This paper describes an improved method using the locations of the blood vessel bends. The blood vessels were detected by a concentration feature determined from the density gradient. The blood vessel bends were detected by tracking the blood vessels from the disc edge to the primary cup edge, which was determined by our previous method. Lastly, the vertical C/D ratio and the R/D ratio were calculated. Using forty-four images, including 32 glaucoma images, the AUCs of both the vertical C/D ratio and R/D ratio by this proposed method were 0.966 and 0.936, respectively.
DOI 10.1109/EMBC.2014.6943545
ISSN 1557-170X
Put Code(ORCID) 52343316
PermalinkURL http://www.scopus.com/inward/record.url?eid=2-s2.0-84929454397&partnerID=MN8TOARS
researchmap用URL http://orcid.org/0000-0001-7666-4442