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Differentiating multiple sclerosis from non-specific white matter changes using a convolutional neural network image classification model

Multiple Sclerosis and Related Disorders(2023)10.1016/j.msard.2023.105420Source: DataRank Database

Differentiating multiple sclerosis from non-specific white matter changes using a convolutional neural network image classification model is a research paper published in Multiple Sclerosis and Related Disorders (2023). On theSindex it has a DataRank of 0. It has been cited 13 times.

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13 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Topics (14)IDs (PubMed)

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Findable (1/2)

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Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Kunio Nakamura ORCID,Daniel Ontaneda ORCID,Moein Amin ORCID

Live enrichment

PubMed:38183693

National Multiple Sclerosis Society

Novartis Pharmaceuticals Corporation

National Institutes of Health

MeSH Terms

BrainHumansMultiple SclerosisMagnetic Resonance ImagingAdultLeukoencephalopathiesNeuroimagingWhite MatterNeural Networks, Computer

Keywords

Artificial intelligenceMRIMultiple sclerosisMachine LearningImage Classification