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Performance Analysis of Machine Learning Algorithms for Strabismus Detection – A Systematic Review

  • Unique Paper ID: 155376
  • Volume: 8
  • Issue: 10
  • PageNo: 65-72
  • Abstract:
  • In recent days statistical reports focus those 8 to 10 conditions in kids whenever analysed early can forestall youth visual impairment which incorporates youth Strabismus (Squint Eye), Amblyopia (Lazy Eye) and so on, metropolitan regions have 1 ophthalmologist for 10,000 individuals yet in country zones, it is 1 for every 2,50,000 individuals. This paper provides a systematic study based mainly on strabismus detection surveys using Machine Learning techniques. Among all Machine Learning Algorithms Convolution Neural Network - CNN produces more accuracy of 95.83%. than Support vector machine -SVM.
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  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 10
  • PageNo: 65-72

Performance Analysis of Machine Learning Algorithms for Strabismus Detection – A Systematic Review

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