1. M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G.S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, X. Zheng, TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. https://www.tensorflow.org/. software available from tensorflow.org.
2. L. Agisoft, R. St Petersburg, Agisoft Metashape 1.6.5. https://www.agisoft.com/downloads/installer/.
3. Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks;Al-Kafri;IEEE Access,2019
4. Assessing the Differences in Measurement of Degree of Spondylolisthesis Between Supine MRI and Erect X-Ray: An Institutional Analysis of 255 Cases;Alvi;Oper. Neurosurg.,2019
5. S. Ansari, M. Amanullah, K. Ahmad, R.K. Rauniyar, Pott’s spine: Diagnostic imaging modalities and technology advancements, 2013. doi:10.4103/1947-2714.115775.