Automated detection of proliferative retinopathy in clinical practice

@inproceedings{Karperien2008AutomatedDO,
  title={Automated detection of proliferative retinopathy in clinical practice},
  author={Audrey Karperien and Herbert F. Jelinek and Jorge J. G. Leandro and Jo{\~a}o V. B. Soares and Roberto M. Cesar and Alan P Luckie},
  booktitle={Clinical ophthalmology},
  year={2008}
}
Timely intervention for diabetic retinopathy (DR) lessens the possibility of blindness and can save considerable costs to health systems. To ensure that interventions are timely and effective requires methods of screening and monitoring pathological changes, including assessing outcomes. Fractal analysis, one method that has been studied for assessing DR, is potentially relevant in today's world of telemedicine because it provides objective indices from digital images of complex patterns such… CONTINUE READING

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References

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Update on the treatment of diabetic retinopathy

  • JC Yam, Kwok AK.
  • Hong Kong Med J, 13:46–60.
  • 2007

The role of automated grading of diabetic retinopathy in a primary care screening programme

  • JA Olson, PF Sharp, KA Goatman
  • 2006
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