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Prediction of knee osteoarthritis progression using radiological descriptors obtained from bone text...

Prediction of knee osteoarthritis progression using radiological descriptors obtained from bone text...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_52f83cca872a4cb0b258d75d88ea276d

Prediction of knee osteoarthritis progression using radiological descriptors obtained from bone texture analysis and Siamese neural networks: data from OAI and MOST cohorts

About this item

Full title

Prediction of knee osteoarthritis progression using radiological descriptors obtained from bone texture analysis and Siamese neural networks: data from OAI and MOST cohorts

Publisher

England: BioMed Central Ltd

Journal title

Arthritis research & therapy, 2022-03, Vol.24 (1), p.66-13, Article 66

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Trabecular bone texture (TBT) analysis has been identified as an imaging biomarker that provides information on trabecular bone changes due to knee osteoarthritis (KOA). In parallel with the improvement in medical imaging technologies, machine learning methods have received growing interest in the scientific osteoarthritis community to potentially...

Alternative Titles

Full title

Prediction of knee osteoarthritis progression using radiological descriptors obtained from bone texture analysis and Siamese neural networks: data from OAI and MOST cohorts

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_52f83cca872a4cb0b258d75d88ea276d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_52f83cca872a4cb0b258d75d88ea276d

Other Identifiers

ISSN

1478-6362,1478-6354

E-ISSN

1478-6362

DOI

10.1186/s13075-022-02743-8

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