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Brain Tumor Classification and Detection Using Hybrid Deep Tumor Network

Brain Tumor Classification and Detection Using Hybrid Deep Tumor Network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2734622690

Brain Tumor Classification and Detection Using Hybrid Deep Tumor Network

About this item

Full title

Brain Tumor Classification and Detection Using Hybrid Deep Tumor Network

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2022-11, Vol.11 (21), p.3457

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Brain tumor (BTs) is considered one of the deadly, destructive, and belligerent disease, that shortens the average life span of patients. Patients with misdiagnosed and insufficient medical treatment of BTs have less chance of survival. For tumor analysis, magnetic resonance imaging (MRI) is often utilized. However, due to the vast data produced by...

Alternative Titles

Full title

Brain Tumor Classification and Detection Using Hybrid Deep Tumor Network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2734622690

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2734622690

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics11213457

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