Literature DB >> 17280941

Development of a simple diagnostic method for the glaucoma using ocular Fundus pictures.

Naoto Inoue1, Kenji Yanashima, Kazushige Magatani, Takuro Kurihara.   

Abstract

There are approximately 2 million people who have glaucoma. And about 90% of glaucoma patients have chronic type disease, and most of them do not notice of their disease. Finally they will lost their eyesight by this disease. Therefore, it is necessary to develop the auto diagnostic method for glaucoma. Our objective of this study is the development of the auto diagnostic system for the glaucoma by using fundus photograph. In our system, digitized fundus photograph is tested in personal computer, and the ratio of the area of optic disk and the area of optic disk cup (named C/D ratio) is calculated and evaluated automatically. And then this system can checkup subject condition for glaucoma. In this paper, we will discuss our auto diagnostic system for the glaucoma.

Entities:  

Year:  2005        PMID: 17280941     DOI: 10.1109/IEMBS.2005.1617196

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Validating retinal fundus image analysis algorithms: issues and a proposal.

Authors:  Emanuele Trucco; Alfredo Ruggeri; Thomas Karnowski; Luca Giancardo; Edward Chaum; Jean Pierre Hubschman; Bashir Al-Diri; Carol Y Cheung; Damon Wong; Michael Abràmoff; Gilbert Lim; Dinesh Kumar; Philippe Burlina; Neil M Bressler; Herbert F Jelinek; Fabrice Meriaudeau; Gwénolé Quellec; Tom Macgillivray; Bal Dhillon
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-05-01       Impact factor: 4.799

2.  Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples.

Authors:  Yong-Li Xu; Shuai Lu; Han-Xiong Li; Rui-Rui Li
Journal:  Sensors (Basel)       Date:  2019-10-11       Impact factor: 3.576

3.  Shared-hole graph search with adaptive constraints for 3D optic nerve head optical coherence tomography image segmentation.

Authors:  Kai Yu; Fei Shi; Enting Gao; Weifang Zhu; Haoyu Chen; Xinjian Chen
Journal:  Biomed Opt Express       Date:  2018-02-02       Impact factor: 3.732

4.  Optic cup segmentation from fundus images for glaucoma diagnosis.

Authors:  Man Hu; Chenghao Zhu; Xiaoxing Li; Yongli Xu
Journal:  Bioengineered       Date:  2016-10-20       Impact factor: 3.269

5.  Optic disc segmentation for glaucoma screening system using fundus images.

Authors:  Ahmed Almazroa; Weiwei Sun; Sami Alodhayb; Kaamran Raahemifar; Vasudevan Lakshminarayanan
Journal:  Clin Ophthalmol       Date:  2017-11-15
  5 in total

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