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An Improved Deep Residual Network Prediction Model for the Early Diagnosis of Alzheimer's Disease

An Improved Deep Residual Network Prediction Model for the Early Diagnosis of Alzheimer's Disease

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3dbc998e8bfa4c9eb725a22a7819f40e

An Improved Deep Residual Network Prediction Model for the Early Diagnosis of Alzheimer's Disease

About this item

Full title

An Improved Deep Residual Network Prediction Model for the Early Diagnosis of Alzheimer's Disease

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2021-06, Vol.21 (12), p.4182

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The early diagnosis of Alzheimer's disease (AD) can allow patients to take preventive measures before irreversible brain damage occurs. It can be seen from cross-sectional imaging studies of AD that the features of the lesion areas in AD patients, as observed by magnetic resonance imaging (MRI), show significant variation, and these features are di...

Alternative Titles

Full title

An Improved Deep Residual Network Prediction Model for the Early Diagnosis of Alzheimer's Disease

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3dbc998e8bfa4c9eb725a22a7819f40e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3dbc998e8bfa4c9eb725a22a7819f40e

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s21124182

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