CNNs for automatic glaucoma assessment using fundus images: an extensive validation
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DOI: 10.1186/s12938-019-0649-y
Abstract: BackgroundMost current algorithms for automatic glaucoma assessment using fundus images rely on handcrafted features based on segmentation, which are affected by the performance of the chosen segmentation method and the extracted features. Among other characteristics,… read more here.
Keywords: validation; automatic glaucoma; assessment using; using fundus ... See more keywords