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UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues

Communications Biology(2022)10.1038/s42003-022-04076-3Source: DataRank Database

UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues is a research paper published in Communications Biology (2022). On theSindex it has a DataRank of 0.596. It has been cited 52 times.

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0.596DataRank · unranked

Scored on demand from live citation data

Open Access52 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (10 grants)OA: goldTopics (27)IDs (PubMed)SDGs (1)

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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.596

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (12)

Edward Novikov ORCID,Won-Dong Jang ORCID,Tuulia Vallius ORCID,Yuan Chen ORCID,Marcelo Cicconet ORCID

Live enrichment

PubMed:36400937

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

Grant: U54-CA225088

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

Grant: U2C-CA233262

National Institutes of Health

Grant: 5U54CA225088-05

Systems Pharmacology of Therapeutic and Adverse Responses to ImmuneCheckpoint and Small Molecule Drugs

National Institutes of Health

Grant: 1U2CCA233262-01

Pre-cancer atlases of cutaneous and hematologic origin (PATCH Center)

National Institutes of Health

Grant: 3P30CA006516-41S6

CANCER CENTER SUPPORT GRANT

National Institutes of Health

Grant: 5R50CA252138-04

High dimensional digital pathology to investigate the tumor micro environment and its impact on response to therapy

NCI NIH HHS

Grant: P30 CA006516

NCI NIH HHS

Grant: R50 CA252138

NCI NIH HHS

Grant: U2C CA233262

NCI NIH HHS

Grant: U54 CA225088

goldLicense: cc-by

publisherhttps://www.nature.com/articles/s42003-022-04076-3.pdf

publisherhttps://www.nature.com/articles/s42003-022-04076-3

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9674686

repositoryhttps://doaj.org/article/d6d934461012487bae14696dab27c9da

https://doi.org/10.1038/s42003-022-04076-3

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciencesHumansAnimalsDeep LearningImage Processing, Computer-AssistedMachine LearningCell NucleusMammals

MeSH Terms

HumansAnimalsDeep LearningImage Processing, Computer-AssistedMachine LearningCell NucleusMammals

Keywords

Cell NucleusMammalsQH301-705.5ArticleMachine LearningDeep LearningImage Processing, Computer-AssistedHumansAnimalsBiology (General)

Sustainable Development Goals

SDG 3: 3. Good health