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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review

BMC Medical Imaging(2024)10.1186/s12880-024-01443-wSource: DataRank Database

Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review is a research paper published in BMC Medical Imaging (2024). On theSindex it has a DataRank of 0. It has been cited 4 times.

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Open Access4 citations

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Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (9 grants)Impact (FWCI 0.36)OA: goldTopics (49)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (6)

G.A. Wells ORCID,Delon Naicker,Threnesan Naidoo ORCID,Adrie J. C. Steyn ORCID,Mandlenkosi Gwetu ORCID

Live enrichment

PubMed:39497049 PMC:PMC11536899 OpenAlex:https://openalex.org/W4404027965

Wellcome Leap Delta Tissue Program and NIH

Grant: R33/61AI138280

Wellcome Strategic Core award

Grant: 201433/Z/16/A

NIAID NIH HHS

Grant: R61 AI138280

Wellcome Trust

Grant: 201433

Africa Health Research Institute (GBP record)

Wellcome Trust

Grant: 227167

Africa Health Research Institute - Core Renewal 2023-30 (GBP)

National Institutes of Health

Grant: 1R24AI186591-01

A Global Research Resource for Human Tuberculosis

National Institutes of Health

Grant: 5R61AI138280-02

METABOLIC REPROGRAMMING OF T CELL ENERGY METABOLISM IN TUBERCULOSIS AND HIV

Wellcome Trust

FWCI

0.36

Citation Percentile

0.5%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01443-w

publisherhttps://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01443-w

publisherhttps://link.springer.com/content/pdf/10.1186/s12880-024-01443-w.pdf

publisherhttps://link.springer.com/article/10.1186/s12880-024-01443-w/fulltext.html

journalhttps://doi.org/10.1186/s12880-024-01443-w

Fields of Study

Image Processing Techniques and ApplicationsCOVID-19 diagnosis using AITuberculosis Research and Epidemiology0301 basic medicine0303 health sciences03 medical and health sciencesHumansDeep LearningLungTuberculosis, PulmonaryMycobacterium tuberculosisImage Processing, Computer-AssistedImaging, Three-DimensionalAlgorithmsPattern Recognition, Automated

MeSH Terms

Deep LearningAlgorithmsHumansImage Processing, Computer-AssistedLungMycobacterium tuberculosisPattern Recognition, AutomatedTuberculosis, PulmonaryImaging, Three-Dimensional

Keywords

Computer scienceArtificial intelligenceDeep learningImage processingObject detectionFocus (optics)TuberculosisComputer visionPathologyPattern recognition (psychology)MedicineImage (mathematics)Image analysisHuman Lung TissueResearchMycobacterium tuberculosisPattern Recognition, AutomatedImaging, Three-DimensionalMedical technologyImage Processing, Computer-AssistedHumansR855-855.5LungTuberculosis, PulmonaryAlgorithms

Sustainable Development Goals

SDG 0: Good health and well-being

Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review

FAIR Checklist

Authors (6)

Funding (9 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)