Automatic Screening for Ocular Anomalies Using Fundus Photographs
CONCLUSIONS
The proposed algorithm compares favorably with human performance for normal versus anomalous eye examination classification using fundus photography. Artificial intelligence, which previously targeted a few retinal pathologies, can be used to screen for ocular anomalies comprehensively.
Source: Optometry and Vision Science - Category: Opthalmology Tags: ORIGINAL INVESTIGATIONS Source Type: research
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