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CelloType: a unified model for segmentation and classification of tissue images

Nature Methods(2024)10.1038/s41592-024-02513-1Source: DataRank Database

CelloType: a unified model for segmentation and classification of tissue images is a research paper published in Nature Methods (2024). On theSindex it has a DataRank of 0. It has been cited 33 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access33 citations

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Cite:

Linked data & code

High-dimensional imaging of colorectal carcinoma and other tumors with 50+ markers · The Cancer Imaging Archive

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 6.03)OA: hybridTopics (32)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (4)

Tarun Kanti Roy ORCID,Xiaodong Wu ORCID,Kai Tan ORCID,Minxing Pang ORCID

Live enrichment

PubMed:39578628 OpenAlex:https://openalex.org/W4404612977

U.S. Department of Health & Human Services | NIH | National Cancer Institute

Grant: U2C CA233285

U.S. Department of Health & Human Services | National Institutes of Health

Grant: U54 HL165442

National Institutes of Health

Grant: 1U54HL165442-01

Center for multidimensional atlas of the human heart

National Institutes of Health

Grant: 5U2CCA233285-02

Center for pediatric tumor cell atlas

FWCI

6.03

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

hybridLicense: cc-by

journalhttps://www.nature.com/articles/s41592-024-02513-1.pdf

publisherhttps://www.nature.com/articles/s41592-024-02513-1.pdf

publisherhttps://www.nature.com/articles/s41592-024-02513-1

journalhttps://doi.org/10.1038/s41592-024-02513-1

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39578628

Fields of Study

Single-cell and spatial transcriptomicsGene expression and cancer classificationCell Image Analysis Techniques0202 electrical engineering, electronic engineering, information engineering02 engineering and technologyImage Processing, Computer-AssistedDeep LearningHumansAlgorithmsAnimals

MeSH Terms

Deep LearningAlgorithmsAnimalsHumansImage Processing, Computer-AssistedMice

Keywords

SegmentationComputer scienceArtificial intelligencePattern recognition (psychology)Spatial analysisImage segmentationScale-space segmentationSegmentation-based object categorizationMachine learningRemote sensingDeep LearningImage Processing, Computer-AssistedHumansAnimalsArticleAlgorithms

Sustainable Development Goals

SDG 0: Quality Education

High-dimensional imaging of colorectal carcinoma and other tumors with 50+ markers

10.7937/tcia.2020.fqn0-0326The Cancer Imaging Archive