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A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defe...

A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defe...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1f9506a91ada40f2a26e96791225b055

A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defense

About this item

Full title

A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defense

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2023-10, Vol.11 (20), p.4272

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Deep learning approaches have demonstrated great achievements in the field of computer-aided medical image analysis, improving the precision of diagnosis across a range of medical disorders. These developments have not, however, been immune to the appearance of adversarial attacks, creating the possibility of incorrect diagnosis with substantial cl...

Alternative Titles

Full title

A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defense

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1f9506a91ada40f2a26e96791225b055

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1f9506a91ada40f2a26e96791225b055

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math11204272

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