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Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

Lecture notes in computer science(2024)10.1007/978-3-031-72120-5_4Source: DataRank Database

Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise is a research paper published in Lecture notes in computer science (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 7.80)OA: greenTopics (28)IDs (PubMed, PMC, OpenAlex)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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Authors (4)

Tianhong Dai ORCID,Binod Bhattarai ORCID,Cristian A. Linte ORCID,Bidur Khanal ORCID

Live enrichment

PubMed:40207034 PMC:PMC11981598 OpenAlex:https://openalex.org/W4403069461

NIGMS NIH HHS

Grant: R35 GM128877

National Institutes of Health

Grant: 5R35GM128877-05

Biomedical Computing and Visualization Tools for Computer-integrated Diagnostic and Therapeutic Data Science

National Science Foundation

Grant: 2245152

Collaborative Research: CDS&E: An experimentally validated, interactive, data-enabled scientific computing platform for cardiac tissue ablation characterization and monitoring

FWCI

7.80

Citation Percentile

1.0%

Citation Trend

2025

2026

greenLicense: Springer Nature TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11981598/pdf/nihms-2064454.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11981598

book serieshttps://doi.org/10.1007/978-3-031-72120-5_4

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40207034

Fields of Study

Flow Measurement and AnalysisImage and Object Detection TechniquesIntravenous Infusion Technology and Safety0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceArtificial intelligenceMulti-label classificationNoise (video)Training setPattern recognition (psychology)Training (meteorology)Machine learningImage (mathematics)Computer visionSpeech recognitionActive LearningImbalanced DataMedical Image ClassificationLabel NoiseLimited BudgetActive Label CleaningLearning With Noisy Labels (Lnl)FOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionMachine Learning (cs.LG)

Sustainable Development Goals

SDG 3: 3. Good health