Deep Learning Assisted Retinopathy of Prematurity Screening Technique

Vijay Kumar, Het Patel, Kolin Paul, Abhidnya Surve, Shorya Azad, Rohan Chawla

2021

Abstract

Retinopathy of Prematurity (ROP) is the leading cause of blindness in preterm babies worldwide. By using proper scanning and treatment, the effect of the blindness of ROP can be reduced. However, due to lack of medical facilities, a large proportion of these preterm infants remain undiagnosed after birth. As a result, these babies are more likely to have ROP induced blindness. In this paper, we propose a robust and intelligent system based on deep learning and computer vision to automatically detect the optical disk (OD) and retinal blood vessels and also classify the high severity (Zone-1) case of ROP. To test and validate the proposed system, we present empirical results using the preterm infant fundus images from a local hospital. Our results showed that the YOLO-V5 model accurately detects the OD from preterm babies fundus images. Further, the computer vision-based system accurately segmented the retinal vessels from the preterm babies fundus images. Specifically for the Zone-1 case of ROP, our system is able to achieve an accuracy of 83.3%.

Paper Citation

in Harvard Style

Kumar V., Patel H., Paul K., Surve A., Azad S. and Chawla R. (2021). Deep Learning Assisted Retinopathy of Prematurity Screening Technique. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF; ISBN 978-989-758-490-9, SciTePress, pages 234-243. DOI: 10.5220/0010322102340243

in Bibtex Style

@conference{healthinf21,
author={Vijay Kumar and Het Patel and Kolin Paul and Abhidnya Surve and Shorya Azad and Rohan Chawla},
title={Deep Learning Assisted Retinopathy of Prematurity Screening Technique},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF},
year={2021},
pages={234-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010322102340243},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF
TI - Deep Learning Assisted Retinopathy of Prematurity Screening Technique
SN - 978-989-758-490-9
AU - Kumar V.
AU - Patel H.
AU - Paul K.
AU - Surve A.
AU - Azad S.
AU - Chawla R.
PY - 2021
SP - 234
EP - 243
DO - 10.5220/0010322102340243
PB - SciTePress