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Fig 1.

Laguna ONhE Assessment.

Example of Laguna ONhE analysis: (A) Original eye fundus image. (B) Automatic segmentation of the optic disc and cup boundaries. (C) Sectoral areas are expressed as a percentage of the optic disc area and compared with values from normative reference population. (D) Segmentation of reference vessels and pseudo-color mapping of hemoglobin distribution.

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Fig 2.

VUNO Assessment.

Example of VUNO analysis: (A) Eye classified as glaucomatous. (B) Eye classified as healthy.

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Fig 3.

Flowchart of Study Population Selection and Inclusion.

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Table 1.

Sample Characteristics.

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Table 2.

Clinical Characteristics of Healthy Eyes.

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Table 3.

Clinical Characteristics of Glaucoma Eyes.

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Table 4.

Diagnostic performance of the Vuno Med-Fundus AI system for glaucoma detection.

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Table 5.

Diagnostic performance of parameters.

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Fig 4.

Area under the ROC curve.

Abbreviations: ROC, receiver operating characteristic.

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Table 6.

Comparison of diagnostic performance of parameters.

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Table 7.

Diagnostic performance according to pRNFL thickness.

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