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Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges

Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3ffa0cfc12b84b58b37935514bce4376

Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges

About this item

Full title

Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2023-02, Vol.13 (4), p.2302

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Deep learning has achieved remarkable progress, particularly in neuroimaging analysis. Deep learning applications have also been extended from adult to pediatric medical images, and thus, this paper aims to present a systematic review of this recent research. We first introduce the commonly used deep learning methods and architectures in neuroimagi...

Alternative Titles

Full title

Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3ffa0cfc12b84b58b37935514bce4376

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3ffa0cfc12b84b58b37935514bce4376

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app13042302

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