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Brain tumor diagnosis in MRI scans images using Residual/Shuffle Network optimized by augmented Falc...

Brain tumor diagnosis in MRI scans images using Residual/Shuffle Network optimized by augmented Falc...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_43ddda90a2014805a45ffcfc42b40449

Brain tumor diagnosis in MRI scans images using Residual/Shuffle Network optimized by augmented Falcon Finch optimization

About this item

Full title

Brain tumor diagnosis in MRI scans images using Residual/Shuffle Network optimized by augmented Falcon Finch optimization

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-11, Vol.14 (1), p.27911-20, Article 27911

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Brain tumor diagnosis is an important task in prognosing and treatment planning of the patients with brain cancer. in the meantime, using the Magnetic Resonance Imaging (MRI) as a commonly used non-invasive imaging technique provide the experts a helpful view for detecting the brain tumors. While deep learning methods have shown significant success...

Alternative Titles

Full title

Brain tumor diagnosis in MRI scans images using Residual/Shuffle Network optimized by augmented Falcon Finch optimization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_43ddda90a2014805a45ffcfc42b40449

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_43ddda90a2014805a45ffcfc42b40449

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-77523-2

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