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Plus disease classification in Retinopathy of Prematurity using transform based features

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Abstract

Retinopathy of prematurity (ROP) is a leading cause of childhood blindness affecting the retina of low birth weight preterm infants. Plus disease in ROP characterised by abnormal tortuosity and dilation of posterior retinal blood vessels, is a benchmark that identifies treatment-requiring ROP cases. A Plus disease classifier with zero false negatives is a major requirement of an ROP screening system. In this paper, an efficient Artificial Neural Network (ANN) architecture with an optimal feature set is proposed which meets the above requirement. A total of 178 images with 81(45%) Plus and 97 (55%) No Plus are used for the analysis. A feature set derived from transform domain representation of retinal funds images is used along with the existing vascular features in the proposed work. Wavelet and Curvelet transforms are considered for deriving the additional feature set in the experimental analysis. The feature set containing Curvelet transform energy coefficient along with the vascular features gave an Accuracy of 96% and Specificity of 93% with 100% Sensitivity.

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Data Availability

The datasets generated during and/or analysed during the current study are not publicly available due to ethical/legal/commercial restrictions.

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. National Institute of Technology, Calicut, Kerala, India

    K. M. Jemshi, G. Sreelekha & P.S. Sathidevi

  2. EkLakshya Academy LLP, Hubli, India

    Poornima Mohanachandran

  3. Narayana Nethralaya PG Institute of Ophthalmology, Bangalore, India

    Anand Vinekar

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  1. K. M. Jemshi
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  2. G. Sreelekha
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  3. P.S. Sathidevi
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  4. Poornima Mohanachandran
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by K M Jemshi, G. Sreelekha, P. S. Sathidevi and Poornima Mohanachandran. The first draft of the manuscript was written by K. M. Jemshi and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to K. M. Jemshi.

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Ethics approval

This study is approved by the institutional review board and ethics committee of Narayana Netralaya eye hospital, Bangalore, India.

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Informed consent was taken from the parents of the study participants. Also, data were de-identified following encoding to ensure confidentiality of study participants.

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The authors affirm that parents of human research participants provided informed consent for publication of the images in Fig. 1a, b.

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Jemshi, K.M., Sreelekha, G., Sathidevi, P. et al. Plus disease classification in Retinopathy of Prematurity using transform based features. Multimed Tools Appl 83, 861–891 (2024). https://doi.org/10.1007/s11042-023-15430-w

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