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Automated Detection and Classification of Telemedical Retinopathy of Prematurity Images

C Vijayalakshmi1, P Sakthivel1, Anand Vinekar2

  • 1Department of Electronics and Communication Engineering, College of Engineering, Anna University, Chennai, Tamil Nadu, India.

Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association
|May 16, 2019
PubMed

Insights

An automated system using Hessian analysis and SVM accurately detects and classifies retinopathy of prematurity (ROP) severity from wide-field images. This technology aids pediatric ophthalmologists in making timely treatment decisions to prevent childhood blindness.

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computational Biology

Background:

  • Retinopathy of prematurity (ROP) is a significant cause of childhood blindness in premature infants.
  • Wide-field digital imaging aids ROP assessment, but automated severity classification is lacking.
  • Automated systems are needed to support ROP specialists in treatment decisions.

Purpose of the Study:

  • To develop and evaluate an automated approach for ROP detection and classification.
  • To assess ROP severity using wide-field telemedical images.
  • To assist in early diagnosis and treatment planning for ROP.

Main Methods:

  • Utilized a dataset of 160 telemedical ROP (tele-ROP) images (36 Normal, 79 Stage 2, 45 Stage 3).
  • Employed Hessian analysis for feature extraction.
  • Applied a Support Vector Machine (SVM) classifier for ROP severity classification.

Main Results:

  • The SVM classifier achieved an overall accuracy of 91.8% in classifying ROP stages.
  • Demonstrated high sensitivity (90.37%) and specificity (94.65%).
  • Reported a false positive rate of 5.35% and a false negative rate of 9.63%.

Conclusions:

  • The automated detection and classification system shows high performance in assessing ROP severity.
  • This approach can significantly support pediatric ophthalmologists in making timely and optimal treatment decisions.
  • Potential to reduce childhood blindness caused by ROP through early intervention.

Keywords:
HessianKIDROPretinopathy of prematurityridgetelemedicine

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