Automated Detection Algorithm for Arteriolar Narrowing on Fundus Images

@article{Hatanaka2005AutomatedDA,
  title={Automated Detection Algorithm for Arteriolar Narrowing on Fundus Images},
  author={Yuusuke Hatanaka and Takashi Nakagawa and Yoshitugu Hayashi and Akira Aoyama and Xiangrong Zhou and Takeshi Hara and Hiroshi Fujita and Yutaka Mizukusa and Akira Fujita and Masakatsu Kakogawa},
  journal={2005 IEEE Engineering in Medicine and Biology 27th Annual Conference},
  year={2005},
  pages={286-289}
}
We have developed a computer-aided diagnosis system (CAD) to detect abnormalities in fundus images. In Japan, ophthalmologists usually detect hypertensive changes by identifying arteriolar narrowing and focal arteriolar narrowing. The purpose of this study is to develop an automated method for detecting arteriolar narrowing and focal arteriolar narrowing on fundus images. The blood vessel candidates were detected by the density analysis method. In blood vessel tracking, a local detection… CONTINUE READING

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Key Quantitative Results

  • Furthermore, by applying this method to 70 other different fundus images, the detection sensitivity for the focal arteriolar narrowing was 75% with 2.9 false positives per image.

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