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Semi-supervised learning for an improved diagnosis of COVID-19 in CT images

PLoS ONE(2021)10.1371/journal.pone.0249450Source: DataRank Database

Semi-supervised learning for an improved diagnosis of COVID-19 in CT images is a research paper published in PLoS ONE (2021). On theSindex it has a DataRank of 0. It has been cited 22 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access22 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 2.95)OA: goldTopics (25)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (3)

Misuk Kim ORCID,Jin Tae Kwak ORCID,Chang Hee Han ORCID

Live enrichment

PubMed:33793650 PMC:PMC8016257 OpenAlex:https://openalex.org/W3148782712

National Research Foundation of Korea

Grant: NRF-2020K1A3A1A74114867

FWCI

2.95

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249450&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249450&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0249450

journalhttps://doi.org/10.1371/journal.pone.0249450

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33793650

Fields of Study

COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingAI in cancer detection

MeSH Terms

Supervised Machine LearningCOVID-19AlgorithmsHumansThoraxTomography, X-Ray ComputedNeural Networks, ComputerDatasets as Topic

Keywords

Artificial intelligenceCoronavirus disease 2019 (COVID-19)Robustness (evolution)Pattern recognition (psychology)Computer scienceSupervised learningSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Artificial neural networkMachine learningMedicinePathologyInfectious disease (medical specialty)BiologyDisease

Sustainable Development Goals

SDG 0: Reduced inequalitiesSDG 0: Peace, Justice and strong institutions

Data from Lung CT Segmentation Challenge 2017 (LCTSC)

10.7937/k9/tcia.2017.3r3fvz08The Cancer Imaging Archive

SPIE-AAPM-NCI Lung Nodule Classification Challenge Dataset

10.7937/k9/tcia.2015.uzlsu3flThe Cancer Imaging Archive