Prediction of scoliosis progression in time series using a hybrid learning technique

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 7 VOLS, Issue , 2005, Pages 6452-6455

  Wu, Hongfa ^a   Ronsky, Janet L ^a   Poncet, Philippe ^a   Cheriet, Farida ^c   Xue, Deyi ^a   Harder, James A ^a,b   Zernicke, Ronald F ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b ALBERTA CHILDREN'S HOSPITAL   (Canada)

^c ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

Artificial neural network; Scoliosis; Spine; Time series prediction; X ray imaging

Indexed keywords

DATABASE SYSTEMS; IMAGE PROCESSING; MEDICAL IMAGING; NEURAL NETWORKS; PATIENT TREATMENT; X RAY ANALYSIS;

SCOLIOSIS; SPINE; TIME SERIES PREDICTION; X-RAY IMAGING;

DISEASES;

EID: 33846895027     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2005.1615976     Document Type: Conference Paper

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