Results 171 to 180 of about 1,761,934 (229)

Application of two-parameter scoliometer values for predicting scoliotic Cobb angle [PDF]

, 2017
Hsuan-Hsiao Ma, Ching‐Lung Tai, Lih-Huei Chen, Chi‐Chien Niu, Wen‐Jer Chen, Po‐Liang Lai   +5 more
openalex   +1 more source

Deep learning in Cobb angle automated measurement on X-rays: a systematic review and meta-analysis. [PDF]

Spine Deform
Zhu Y, Yin X, Chen Z, Zhang H, Xu K, Zhang J, Wu N.   +6 more
europepmc   +1 more source

Automated Cobb angle measurement in scoliosis radiographs: A deep learning approach for screening

Xi Zhen Low, Mohammad Shaheryar Furqan, Andrew Makmur, Desmond Shi Wei Lim, Ren Wei Liu, Xinyi Lim, Yiong Huak Chan, Jiong Hao Tan, Leok Lim Lau, James Thomas Patrick Decourcy Hallinan   +9 more
openalex   +1 more source

Skeletal Maturity, Brace Compliance, and In-Brace Correction Rate Are Important Factors Associated with Cobb Angle Progression after Brace Treatment in Patients with Adolescent Idiopathic Scoliosis. [PDF]

Spine Surg Relat Res
Sakashita K, Asada T, Kotani T, Sakuma T, Iijima Y, Ogata Y, Okuwaki S, Ohyama S, Mizutani M, Akazawa T, Minami S, Ohtori S, Koda M, Yamazaki M.   +13 more
europepmc   +1 more source

Automated 3D Cobb Angle Measurement Using U-Net in CT Images of Preoperative Scoliosis Patients. [PDF]

J Imaging Inform Med
Li L, Zhang T, Lin F, Li Y, Wong MS.
europepmc   +1 more source

Analysis of Clinical and Radiological Predictive Factors for Moderate and Severe Pulmonary Impairment in 102 Adolescent Idiopathic Scoliosis (AIS) Patients With Major Cobb Angle ≥45°: A Study of an Asian Population. [PDF]

Global Spine J
Lee SY, Lee YJ, Chiu CK, Chandirasegaran S, Hasan MS, Chan CYW, Kwan MK.   +6 more
europepmc   +1 more source

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

Cureus
Russo AP, Pastorello Y, Dénes L.
europepmc   +1 more source

Cobb angles measurements.

, 2015
Guevar Julien, Penderis Jacques, Faller Kiterie, Yeamans Carmen, S. Jarnevich Catherine, Gutierrez-Quintana Rodrigo   +5 more
openalex   +2 more sources

Comparison of three artificial intelligence algorithms for automatic cobb angle measurement using teaching data specific to three disease groups. [PDF]

Sci Rep
Kato S, Maeda Y, Nagura T, Nakamura M, Watanabe K.   +4 more
europepmc   +1 more source