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DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images

arXiv (Cornell University)(2021)10.1109/cvpr46437.2021.00106Source: DataRank Database

DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images is a research paper published in arXiv (Cornell University) (2021). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.15)OA: greenTopics (23)IDs (PubMed, 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 (3)

Wah Chiu ORCID,Serena Yeung ORCID,Joy Hsu ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3141404186

National Institutes of Health

Grant: 5P01NS092525-05

From Structure to Therapy: The TRiC Chaperonin Network in Huntington's Disease

National Institutes of Health

Grant: 3P01NS092525-01A1S1

From Structure to Therapy: The TRiC Chaperonin Network in Huntington's Disease

FWCI

0.15

Citation Percentile

0.3%

Citation Trend

2022

2025

greenLicense: STM Policy #29

repositoryhttps://arxiv.org/pdf/2104.01325

publisherhttp://xplorestaging.ieee.org/ielx7/9577055/9577056/09577394.pdf?arnumber=9577394

repositoryhttp://arxiv.org/abs/2104.01325

https://doi.org/10.1109/cvpr46437.2021.00106

Fields of Study

AI in cancer detectionCOVID-19 diagnosis using AIDomain Adaptation and Few-Shot Learning03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceArtificial intelligenceConvolutional neural networkBenchmark (surveying)SegmentationDomain (mathematical analysis)Domain adaptationMachine learningConsistency (knowledge bases)Pattern recognition (psychology)Representation (politics)Domain knowledgeFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionI.4.10