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CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation

Neurocomputing(2021)10.1016/j.neucom.2021.10.076Source: DataRank Database

CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation is a research paper published in Neurocomputing (2021). On theSindex it has a DataRank of 0. It has been cited 28 times.

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0DataRank · unranked

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28 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 2.79)OA: closedTopics (17)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Charlie Tran ORCID,Bin Kong ORCID,Ruogu Fang ORCID,Peng Liu ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3208047812

FWCI

2.79

Citation Percentile

0.9%

Influential Citations

Citation Trend

2022

2023

2024

2025

2026

closedLicense: http://www.elsevier.com/open-access/userlicense/1.0/

BRONZEhttp://manuscript.elsevier.com/S0925231221015642/pdf/S0925231221015642.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0925231221015642?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0925231221015642?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.neucom.2021.10.076

Fields of Study

Retinal Imaging and AnalysisDomain Adaptation and Few-Shot LearningMedical Imaging and AnalysisEngineeringComputer ScienceMedicine

Keywords

Computer scienceArtificial intelligenceDiscriminatorMachine learningDomain (mathematical analysis)Deep learningAdversarial systemScalabilityArtificial neural networkPattern recognition (psychology)Mathematics

Sustainable Development Goals

SDG 0: Reduced inequalities

CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation

FAIR Checklist

Authors (4)

Impact

Open Access

Topics