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ReticularNet: Automated Pixel-Level Segmentation of Reticular Pseudodrusen on Near-Infrared Reflectance Images by Deep Learning

Ophthalmology Science(2025)10.1016/j.xops.2025.101038Source: DataRank Database

ReticularNet: Automated Pixel-Level Segmentation of Reticular Pseudodrusen on Near-Infrared Reflectance Images by Deep Learning is a research paper published in Ophthalmology Science (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.00)OA: goldTopics (12)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (12)

Dylan Wu,Leon von der Emde ORCID,Emily Vance ORCID,Marco Ji,Mehdi Emamverdi ORCID

Live enrichment

PubMed:41626424 PMC:PMC12856432 OpenAlex:https://openalex.org/W7115926184

Johnson and Johnson

National Eye Institute

National Institutes of Health

Research to Prevent Blindness

European Commission

FWCI

0.00

Citation Percentile

0.7%

goldLicense: cc-by

journalhttps://doi.org/10.1016/j.xops.2025.101038

publisherhttps://doi.org/10.1016/j.xops.2025.101038

publisherhttps://api.elsevier.com/content/article/PII:S2666914525003367?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666914525003367?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41626424

Fields of Study

Cell Image Analysis TechniquesAI in cancer detectionCutaneous Melanoma Detection and Management

Keywords

ReflectivitySegmentationDeep learningPattern recognition (psychology)Image segmentationAge-related macular degenerationReticular PseudodrusenSubretinal Drusenoid DepositsNear-infrared Reflectance Imaging