Validation of an artificial intelligence-based method to automate Cobb angle measurement on spinal radiographs of children with adolescent idiopathic scoliosis

Applying a Convolutional Neural Network Based Iterative Algorithm to Automatically Measure Spinal Curvature on Radiographs for Children with Scoliosis

(2022) Solvin Sigurdson et al.   Journal of Medical and Biological Engineering

Automatic Cobb angle measurement method based on vertebra segmentation by deep learning

(2022) Yang Zhao et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

(2021) Jane Scheetz et al.   Scientific Reports

An automated estimator for Cobb angle measurement using multi-task networks

(2020) Xiangling Fu et al.   NEURAL COMPUTING & APPLICATIONS

Fully automated radiological analysis of spinal disorders and deformities: a deep learning approach

(2019) Fabio Galbusera et al.   EUROPEAN SPINE JOURNAL

Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network

(2019) Ming-Huwi Horng et al.   Computational and Mathematical Methods in Medicine

Evaluation of a computer-aided method for measuring the Cobb angle on chest X-rays

(2019) Yaling Pan et al.   EUROPEAN SPINE JOURNAL

Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net

(2018) Hongbo Wu et al.   MEDICAL IMAGE ANALYSIS

Automatic Cobb Angle Determination From Radiographic Images

(2013) Tri Arief Sardjono et al.   SPINE

A review of methods for quantitative evaluation of spinal curvature

(2009) Tomaž Vrtovec et al.   EUROPEAN SPINE JOURNAL

Adolescent idiopathic scoliosis

(2008) Stuart L Weinstein et al.   LANCET