Early Diagnosis of Retinopathy of Prematurity using Image Processing

  • Authors

    • Priti V. Bhagat Research Scholar, Department of Computer Technology, Yeshwantrao Chavan College of Engineering, Nagpur, India and Assistant Professor, Department of Computer Engineering, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India
    • M. M. Raghuwanshi Professor, Department of Computer Science & Engineering, S. B. Jain Institute of Technology, Management & Research, Nagpur, India
    • Ashutosh Bagde Research Scientist, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, In-dia and Assistant Professor, Department of Biomedical Engineering, Faculty of Engineering and Technology, Wardha, India
    https://doi.org/10.14419/actfeq25

    Received date: March 8, 2025

    Accepted date: April 8, 2025

    Published date: July 20, 2025

  • Retinopathy of Prematurity, ROP, retinal vessels

  • Abstract

    Retinopathy of prematurity may lead to blindness in neonates. Retinopathy of prematurity (ROP) is responsible for over 30000 blind children worldwide. Retinopathy of prematurity (ROP) mainly observes premature infants with low birth weight and a major cause for childhood blindness due to failure in early-stage detection. The proposed study enhances the feasibility of prediction of the Retinopathy of Prematurity from the retinal fundus image. It includes the retinal fundus image enhancement, retinal vessel segmentation and calculation of retinal vessel tortuosity. Finally, we use Support Vector Machine for classification of ROP. Experiment shows promising results, 92.38 % accuracy, a sensitivity of 93.83%, and a specificity of 91.68%.

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  • How to Cite

    Bhagat , P. V. ., Raghuwanshi , M. M. ., & Bagde , A. . (2025). Early Diagnosis of Retinopathy of Prematurity using Image Processing. International Journal of Basic and Applied Sciences, 14(SI-2), 73-77. https://doi.org/10.14419/actfeq25