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Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images

Biomedical Signal Processing and Control(2021)10.1016/j.bspc.2021.102666Source: DataRank Database

Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images is a research paper published in Biomedical Signal Processing and Control (2021). On theSindex it has a DataRank of 0. It has been cited 4 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

Cite:

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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 0.51)OA: greenTopics (11)IDs (PubMed, 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 (7)

Brejesh Lall ORCID,Bijaya Ketan Panigrahi ORCID,Anjali Agrawal ORCID,Anurag Agrawal ORCID,Balamugesh Thangakunam

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W3106438446

Citrus Research and Development Foundation

Grant: OISE-17-62923

FWCI

0.51

Citation Percentile

0.6%

Citation Trend

2021

2022

greenLicense: https://doi.org/10.15223/policy-004

repositoryhttps://arxiv.org/pdf/2011.09695

repositoryhttps://arxiv.org/pdf/2011.09695

publisherhttps://api.elsevier.com/content/article/PII:S1746809421002639?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1746809421002639?httpAccept=text/plain

repositoryhttp://arxiv.org/abs/2011.09695

Fields of Study

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

Keywords

SegmentationConvolutional neural networkMedicineComputer scienceLung cancerRadiologyArtificial intelligencePathology

Sustainable Development Goals

SDG 0: Good health and well-being