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Bio-informed Image-based Deep Learning Frameworks for Prognosis of Pediatric Spinal Deformities

Description:

Predicting pediatric spinal deformity (PSD) from X-ray images collected on the patient's initial visit is a challenging task. This research provides a bio-informed framework based on a mechanistic machine learning technique with dynamic patient-specific (PS) parameters to predict PSD. We provide a geometry-based bone growth model that can be utilized...

Keyword:

Adolescent idiopathic scoliosis (AIS), Mechanistic bio-informed machine learning, Pediatric spinal deformity (PSD), 3D reconstruction, X-ray images, and Mesh registration

Subject:

Mechanical engineering and Biomechanics

Creator:

Tajdari, Mahsa

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

06/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_879756 and http://dissertations.umi.com/northwestern:15944