Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports-Reference-Cited by-同舟云学术

Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports

Published:2022-02-11 Issue:3 Volume:35 Page:524-533
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Ha Audrey Y.,Do Bao H.,Bartret Adam L.,Fang Charles X.,Hsiao Albert,Lutz Amelie M.,Banerjee Imon,Riley Geoffrey M.,Rubin Daniel L.,Stevens Kathryn J.,Wang Erin,Wang Shannon,Beaulieu Christopher F.,Hurt Brian^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://link.springer.com/content/pdf/10.1007/s10278-022-00595-x.pdf

Reference24 articles.

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2. Cobb JR. Outline for the study of scoliosis. American Academy of Orthopaedic Surgeons. Instr Course Lect. 1948;5:261-75.

3. Carman DL, Browne RH, Birch JG. Measurement of scoliosis and kyphosis radiographs. Intraobserver and interobserver variation. J Bone Joint Surg Am. 1990;72(3):328–33. Epub 1990/03/01. PubMed PMID: 2312528.

4. Loder RT, Urquhart A, Steen H, Graziano G, Hensinger RN, Schlesinger A, et al. Variability in Cobb angle measurements in children with congenital scoliosis. J Bone Joint Surg Br. 1995;77(5):768-70. Epub 1995/09/01. PubMed PMID: 7559707.

5. Morrissy RT, Goldsmith GS, Hall EC, Kehl D, Cowie GH. Measurement of the Cobb angle on radiographs of patients who have scoliosis. Evaluation of intrinsic error. J Bone Joint Surg Am. 1990;72(3):320–7. Epub 1990/03/01. PubMed PMID: 2312527.

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