Comparison of manual versus automated measurement of Cobb angle in idiopathic scoliosis based on a deep learning keypoint detection technology

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

Iterative fully convolutional neural networks for automatic vertebra segmentation and identification

(2019) Nikolas Lessmann et al.   MEDICAL IMAGE ANALYSIS

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

(2019) Yaling Pan et al.   EUROPEAN SPINE JOURNAL

Fully automatic cervical vertebrae segmentation framework for X-ray images

(2018) S. M. Masudur Rahman Al Arif et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

(2018) Nicholas Bien et al.   PLOS MEDICINE

A Computer-aided Method for Improving the Reliability of Lenke Classification for Scoliosis

(2015) Junhua Zhang et al.   Journal of Healthcare Engineering

Artificial neural networks in neurosurgery

(2014) P. Azimi et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY

Automatic Cobb Measurement of Scoliosis Based on Fuzzy Hough Transform with Vertebral Shape Prior

(2008) Junhua Zhang et al.   JOURNAL OF DIGITAL IMAGING