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Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling

Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a404f0decde34c92bdc157ebdaf25160

Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling

About this item

Full title

Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling

Publisher

Switzerland: MDPI AG

Journal title

Current oncology (Toronto), 2022-10, Vol.29 (10), p.7498-7511

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The automated classification of brain tumors plays an important role in supporting radiologists in decision making. Recently, vision transformer (ViT)-based deep neural network architectures have gained attention in the computer vision research domain owing to the tremendous success of transformer models in natural language processing. Hence, in th...

Alternative Titles

Full title

Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a404f0decde34c92bdc157ebdaf25160

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a404f0decde34c92bdc157ebdaf25160

Other Identifiers

ISSN

1718-7729,1198-0052

E-ISSN

1718-7729

DOI

10.3390/curroncol29100590

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