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Deep Learning for the Radiographic Detection of Periodontal Bone Loss

Deep Learning for the Radiographic Detection of Periodontal Bone Loss

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6560098

Deep Learning for the Radiographic Detection of Periodontal Bone Loss

About this item

Full title

Deep Learning for the Radiographic Detection of Periodontal Bone Loss

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2019-06, Vol.9 (1), p.8495-8495, Article 8495

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

We applied deep convolutional neural networks (CNNs) to detect periodontal bone loss (PBL) on panoramic dental radiographs. We synthesized a set of 2001 image segments from panoramic radiographs. Our reference test was the measured % of PBL. A deep feed-forward CNN was trained and validated via 10-times repeated group shuffling. Model architectures...

Alternative Titles

Full title

Deep Learning for the Radiographic Detection of Periodontal Bone Loss

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6560098

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6560098

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-019-44839-3

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