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Automated Cobb Angle Measurements for Scoliosis Diagnosis and Assessment: AI Applications and Accura...

Automated Cobb Angle Measurements for Scoliosis Diagnosis and Assessment: AI Applications and Accura...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11391110

Automated Cobb Angle Measurements for Scoliosis Diagnosis and Assessment: AI Applications and Accuracy Enhancement Through Image Processing Techniques

About this item

Full title

Automated Cobb Angle Measurements for Scoliosis Diagnosis and Assessment: AI Applications and Accuracy Enhancement Through Image Processing Techniques

Publisher

United States: Springer Nature B.V

Journal title

Curēus (Palo Alto, CA), 2024-08, Vol.16 (8), p.e66736

Language

English

Formats

Publication information

Publisher

United States: Springer Nature B.V

More information

Scope and Contents

Contents

Introduction Scoliosis is characterized by an abnormal curvature of the spine in the coronal plane. Idiopathic scoliosis is the most prevalent type, though specific causes are sometimes identifiable. Genetic factors significantly influence adolescent idiopathic scoliosis (AIS), which is diagnosed through clinical and radiographic evaluations, prima...

Alternative Titles

Full title

Automated Cobb Angle Measurements for Scoliosis Diagnosis and Assessment: AI Applications and Accuracy Enhancement Through Image Processing Techniques

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11391110

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11391110

Other Identifiers

ISSN

2168-8184

E-ISSN

2168-8184

DOI

10.7759/cureus.66736

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