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Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles

PeerJ(2020)10.7717/peerj.8693Source: DataRank Database

Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles is a research paper published in PeerJ (2020). On theSindex it has a DataRank of 0. It has been cited 40 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access40 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 3.30)OA: goldTopics (24)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 (3)

Incheol Kim ORCID,Sameer Antani ORCID,Sivaramakrishnan Rajaraman ORCID

Live enrichment

PubMed:32211231 PMC:PMC7083159 OpenAlex:https://openalex.org/W3011825565

National Institutes of Health

Intramural Research Program of the National Library of Medicine

Lister Hill National Center for Biomedical Communications

FWCI

3.30

Citation Percentile

0.9%

Citation Trend

2020

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.7717/peerj.8693

publisherhttps://doi.org/10.7717/peerj.8693

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32211231

repositoryhttps://doaj.org/article/fe3b1e6eca7544c79c9e28229a19261d

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7083159

Fields of Study

COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment

Keywords

Artificial intelligenceComputer scienceDiscriminative modelModality (human–computer interaction)Convolutional neural networkPattern recognition (psychology)AbnormalityGeneralizationFeature (linguistics)VisualizationEnsemble learningTask (project management)Deep learningMachine learningFeature extractionMathematicslocalizationModality-specific KnowledgeChest X-raysConvolutional Neural NetworksClass-selective Relevance Mapping

Sustainable Development Goals

SDG 0: Reduced inequalities

Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles

FAIR Checklist

Authors (3)

Funding (3 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)