Hyperspectral imaging identifies drusen types in nonexudative AMD, implying a new tool for risk assessment.
Distinct spatial-spectral signatures for soft drusen, hard drusen, and RPD were identified using hyperspectral imaging. Both SAM and random forest classifiers demonstrated promising results for automated drusenoid deposit detection. These findings support the role of hyperspectral retinal imaging as a noninvasive tool for automated drusen mapping and patient risk stratification in nonexudative AMD.
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Chen et al. (2026) studied this question.
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