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AGAT: Building and evaluating binary partition trees for image segmentation

SoftwareX(2021)10.1016/j.softx.2021.100855Source: DataRank Database

AGAT: Building and evaluating binary partition trees for image segmentation is a research paper published in SoftwareX (2021). On theSindex it has a DataRank of 0.241. It has been cited 4 times.

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0.241DataRank · unranked

Scored on demand from live citation data

4 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: goldTopics (34)IDs (PubMed, OpenAlex)

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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.241

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (4)

Camille Kurtz,Éric Desjardin ORCID,Nicolas Passat ORCID,Jimmy Francky Randrianasoa

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W3211941742

Agence Nationale de la Recherche

Grant: ANR-15-CE23-0009

Multiphysics image-based AnalysIs for premature brAin development understanding

Agence Nationale de la Recherche

Grant: ANR-17-CE23-0015

High-performance processing techniques for mapping and monitoring environmental changes from massive, heterogeneous and high frequency data times series

Agence Nationale de la Recherche

Grant: ANR-18-CE23-0025

Historical Image Analysis for Territory evolUtion Stories

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.softx.2021.100855

publisherhttps://doi.org/10.1016/j.softx.2021.100855

publisherhttps://api.elsevier.com/content/article/PII:S2352711021001308?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2352711021001308?httpAccept=text/plain

repositoryhttps://hal.science/hal-03384164

Fields of Study

Medical Image Segmentation TechniquesVisual Attention and Saliency DetectionCell Image Analysis Techniques0211 other engineering and technologies02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Partition (number theory)Computer scienceGraph partitionBinary numberBinary treeSegmentationJavaTheoretical computer scienceArtificial intelligenceData miningGraphTree (set theory)Image segmentationMachine learningAlgorithmProgramming languageMathematicsImage/graph processingBinary partition treeQuality evaluation025004image / graph processingQA76.75-76.765[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Hierarchical modelingComputer software

AGAT: Building and evaluating binary partition trees for image segmentation

FAIR Checklist

DataRank Breakdown

Authors (4)

Funding (3 grants)

Open Access

Topics