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Using deep-neural-network-driven facial recognition to identify distinct Kabuki syndrome 1 and 2 ges...

Using deep-neural-network-driven facial recognition to identify distinct Kabuki syndrome 1 and 2 ges...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9177756

Using deep-neural-network-driven facial recognition to identify distinct Kabuki syndrome 1 and 2 gestalt

About this item

Full title

Using deep-neural-network-driven facial recognition to identify distinct Kabuki syndrome 1 and 2 gestalt

Publisher

England: Nature Publishing Group

Journal title

European journal of human genetics : EJHG, 2022-06, Vol.30 (6), p.682-686

Language

English

Formats

Publication information

Publisher

England: Nature Publishing Group

More information

Scope and Contents

Contents

Kabuki syndrome (KS) is a rare genetic disorder caused by mutations in two major genes, KMT2D and KDM6A, that are responsible for Kabuki syndrome 1 (KS1, OMIM147920) and Kabuki syndrome 2 (KS2, OMIM300867), respectively. We lack a description of clinical signs to distinguish KS1 and KS2. We used facial morphology analysis to detect any facial morph...

Alternative Titles

Full title

Using deep-neural-network-driven facial recognition to identify distinct Kabuki syndrome 1 and 2 gestalt

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9177756

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9177756

Other Identifiers

ISSN

1018-4813

E-ISSN

1476-5438

DOI

10.1038/s41431-021-00994-8

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