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Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound

International Journal of Computer Assisted Radiology and Surgery(2025)10.1007/s11548-024-03294-wSource: DataRank Database

Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound is a research paper published in International Journal of Computer Assisted Radiology and Surgery (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.

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3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 1.91)OA: closedTopics (44)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

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Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Hui Li ORCID,Jordan Fuhrman,Lan Li ORCID,Jelani Williams,Brendan M. Finnerty ORCID

Live enrichment

PubMed:39751996 OpenAlex:https://openalex.org/W4406021392

National Center for Advancing Translational Sciences

Grant: 5UL1TR002389-02

ITM 2.0: Advancing Translational Science in Metropolitan Chicago

National Institutes of Health

Grant: NIH S10 OD025081-01

National Institutes of Health

Grant: T32 GM07281

National Institutes of Health

Grant: 1S10OD025081-01

Protected Radiomics Analysis Commons for Deep Learning in Biomedical Discovery

National Institutes of Health

Grant: 2T32GM007281-36

Medical Scientist National Research Service Award

FWCI

1.91

Citation Percentile

0.9%

Citation Trend

2025

2026

closedLicense: Springer Nature TDM

publisherhttps://link.springer.com/content/pdf/10.1007/s11548-024-03294-w.pdf

publisherhttps://link.springer.com/article/10.1007/s11548-024-03294-w/fulltext.html

journalhttps://doi.org/10.1007/s11548-024-03294-w

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39751996

Fields of Study

Thyroid Cancer Diagnosis and TreatmentAI in cancer detectionArtificial Intelligence in Healthcare and Education0202 electrical engineering, electronic engineering, information engineering02 engineering and technologyFemaleHumansMaleAlgorithmsDeep LearningImage Interpretation, Computer-AssistedRetrospective StudiesThyroid NoduleUltrasonography

MeSH Terms

Deep LearningAlgorithmsFemaleHumansImage Interpretation, Computer-AssistedMaleRetrospective StudiesUltrasonographyThyroid Nodule

Keywords

Thyroid nodulesSegmentationUltrasoundThyroidComputer scienceArtificial intelligenceDeep learningRadiologyMedicineMedical physicsInternal medicineAttentionNodulesMaleImage Interpretation, Computer-AssistedHumansFemaleThyroid NoduleAlgorithmsRetrospective StudiesUltrasonography

Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound

FAIR Checklist

Authors (11)

Funding (5 grants)

Impact

Open Access

Topics