Automated Optic Nerve Head Detection Based on Different Retinal Vasculature Segmentation Methods and Mathematical Morphology

@article{Tavakoli2017AutomatedON,
  title={Automated Optic Nerve Head Detection Based on Different Retinal Vasculature Segmentation Methods and Mathematical Morphology},
  author={Meysam Tavakoli and Mahdieh Nazar and Alireza Golestaneh and Faraz Kalantari},
  journal={2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)},
  year={2017},
  pages={1-7}
}
  • M. TavakoliM. Nazar F. Kalantari
  • Published 1 October 2017
  • Computer Science
  • 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
Computer vision and image processing techniques provide important assistance to physicians and relieve their work load in different tasks. In particular, identifying objects of interest such as lesions and anatomical structures from the image is a challenging and iterative process that can be done by using computer vision and image processing approaches in a successful manner. Optic Nerve Head (ONH) detection is a crucial step in retinal image analysis algorithms. The goal of ONH detection is… 

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