Log in to save to my catalogue

An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic R...

An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic R...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2774855856

An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic Resonance Imaging (MRI)

About this item

Full title

An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic Resonance Imaging (MRI)

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2023-01, Vol.12 (3), p.676

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Alzheimer’s disease (AD) is a deadly cognitive condition in which people develop severe dementia symptoms. Neurologists commonly use a series of physical and mental tests to diagnose AD that may not always be effective. Damage to brain cells is the most significant physical change in AD. Proper analysis of brain images may assist in the identificat...

Alternative Titles

Full title

An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic Resonance Imaging (MRI)

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2774855856

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2774855856

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics12030676

How to access this item