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

Luca Maria SconfienzaFrank NiemeyerHans-Joachim WilkeTito BassaniGloria CasaroliCarla AnaniaFrancesco CostaMarco Brayda-BrunoLuca Maria Sconfienza

Published in: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society (2019)

The proposed method is able to automatically determine the spine shape in biplanar radiographs and calculate anatomical and posture parameters in a wide scenario of clinical conditions with a very good visual performance, despite limitations highlighted by the statistical analysis of the results. These slides can be retrieved under Electronic Supplementary Material.

Keyphrases

deep learning
machine learning
artificial intelligence
convolutional neural network
spinal cord
high throughput