A Lightweight Automated Framework for Retinal Disease Screening Using Fundus Images
Keywords:
Retinal disease screening, fundus images, diabetic retinopathy, glaucoma detection, lightweight models, image segmentation, machine learning, deep learning, telemedicine, automated diagnosisAbstract
Retinal disorders such as glaucoma and diabetic retinopathy are among theleading causes of irreversible vision loss worldwide. Timely diagnosis is important to prevent disease progression, particularly in regions with limited access
References
World Health Organization, World Report on Vision, Geneva: WHO, 2019.
R. Deshmukh, S. Hussain, and R. R. Deshmukh, “Automated detection of glaucoma using fundus images,” IEEE Trans. Med. Imaging, vol. 38,
no. 5, pp. 1234–1245, 2020.
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Published
2023-08-05
How to Cite
Dr.Syed Akhter Hussain. (2023). A Lightweight Automated Framework for Retinal Disease Screening Using Fundus Images. Journal of Computational Analysis and Applications (JoCAAA), 31(3), 867–882. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4756
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