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An Unsupervised Approach for Treatment Effectiveness Monitoring Using Curvature Learning

Computers(2024)10.3390/computers13090227Source: DataRank Database

An Unsupervised Approach for Treatment Effectiveness Monitoring Using Curvature Learning is a research paper published in Computers (2024). On theSindex it has a DataRank of 0.

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0DataRank · unranked

Scored on demand from live citation data

Open Access0 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 0.00)OA: goldTopics (20)IDs (PubMed, OpenAlex)

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)

Isabelle Durot ORCID,Alireza Akhbardeh ORCID,Hersh Sagreiya ORCID

Live enrichment

PubMed:20725694 OpenAlex:https://openalex.org/W4402374669

Radiological Society of North America

Grant: #RF1727

Radiological Society of North America

Grant: NIH 2T32CA009695-26

National Institutes of Health

Grant: 2T32CA009695-26

STANFORD CANCER IMAGING TRAINING (SCIT) PROGRAM

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by

journalhttps://www.mdpi.com/2073-431X/13/9/227/pdf

publisherhttps://www.mdpi.com/2073-431X/13/9/227/pdf

journalhttps://doi.org/10.3390/computers13090227

repositoryhttps://doaj.org/article/4804acd5c91b4b54b85f80959f12d46a

https://dx.doi.org/10.3390/computers13090227

Fields of Study

Medical Imaging and AnalysisAI in cancer detectionBrain Tumor Detection and Classification0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Unsupervised learningComputer scienceCurvatureArtificial intelligenceEnvironmental scienceMathematicstreatment monitoringmachine learningcurvature learningultrasoundElectronic computers. Computer sciencecancerQA75.5-76.95contrast-enhanced ultrasoundearly diagnosis