Hard exudates referral system in eye fundus utilizing speeded up robust features
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Syed Ali Gohar Naqvi. International Islamic University (IIUI), H-10, Islamabad, Pakistan. syed.phdee37@iiu.edu.pk

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    Abstract:

    In the paper a referral system to assist the medical experts in the screening/referral of diabetic retinopathy is suggested. The system has been developed by a sequential use of different existing mathematical techniques. These techniques involve speeded up robust features (SURF), K-means clustering and visual dictionaries (VD). Three databases are mixed to test the working of the system when the sources are dissimilar. When experiments were performed an area under the curve (AUC) of 0.9343 was attained. The results acquired from the system are promising.

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Syed Ali Gohar Naqvi, Hafiz Muhammad Faisal Zafar, Ihsanul Haq. Hard exudates referral system in eye fundus utilizing speeded up robust features. Int J Ophthalmol, 2017,10(7):1171-1174

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Publication History
  • Received:June 30,2016
  • Revised:December 07,2016
  • Adopted:
  • Online: July 11,2017
  • Published: