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Emergence of Deep Learning in Knee Osteoarthritis Diagnosis

Emergence of Deep Learning in Knee Osteoarthritis Diagnosis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8598325

Emergence of Deep Learning in Knee Osteoarthritis Diagnosis

About this item

Full title

Emergence of Deep Learning in Knee Osteoarthritis Diagnosis

Publisher

New York: Hindawi

Journal title

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.4931437-4931437

Language

English

Formats

Publication information

Publisher

New York: Hindawi

More information

Scope and Contents

Contents

Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing significant disability in patients worldwide. Manual diagnosis, segmentation, and annotations of knee joints remain as the popular method to diagnose OA in clinical practices, although they are tedious and greatly subject to user variation. Therefore, to overcome...

Alternative Titles

Full title

Emergence of Deep Learning in Knee Osteoarthritis Diagnosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8598325

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8598325

Other Identifiers

ISSN

1687-5265

E-ISSN

1687-5273

DOI

10.1155/2021/4931437

How to access this item