Automated detection and segmentation of Weiss ring in fundus images photographs utilizing deep studying

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doi: 10.1038/s41598-026-44593-3.


Online forward of print.

Affiliations

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Heesuk Kim et al.


Sci Rep.


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Keywords:

Artificial intelligence; Classification; Deep studying; Fundus images; Posterior vitreous detachment; Segmentation; Weiss ring.

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Conflict of curiosity assertion

Declarations. Competing pursuits: T Okay Yoo is an advisory board member of MediWhale and has acquired marketing consultant charges as a part of the usual compensation bundle. The remaining authors declare no conflicts of curiosity. Ethics approval and consent to take part: As the examine completely utilized publicly out there knowledge, IRB approval was not required. The examine complied with the rules outlined within the Declaration of Helsinki, making certain moral requirements have been maintained all through.

References

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    1. Hollands, H. et al. Acute-onset floaters and flashes: Is this affected person in danger for retinal detachment?. JAMA 302, 2243–2249 (2009).

    1. Abraham, J. R. & Ehlers, J. P. Posterior vitreous detachment: Methods for detection. Ophthalmol. Retina 4, 119–121 (2020).

    1. Nixon, T. R. W., Davie, R. L. & Snead, M. P. Posterior vitreous detachment and retinal tear – A potential examine of neighborhood referrals. Eye 38, 786–791 (2024).

    1. Mamou, J. et al. Ultrasound-based quantification of vitreous floaters correlates with distinction sensitivity and high quality of life. Invest. Ophthalmol. Vis. Sci. 56, 1611–1617 (2015).


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