A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation.

Danis AlukaevSemen KiselevTamerlan MustafaevAhatov AinurBulat Ibragimov Tomaž Vrtovec

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 (2022)

The obtained results are within the range of values, obtained by existing DL approaches without external validation. The results therefore confirm the scalability of the proposed DL framework from the perspective of application to external data, and time and computational resource consumption required for framework training.

Keyphrases

deep learning
high resolution
electronic health record
bone mineral density
big data
artificial intelligence
convolutional neural network
postmenopausal women