![x ray spine cervical x ray spine cervical](https://phoenixspinesurgeon.com/wp-content/uploads/2024/02/man-performs-superman-stretch-after-back-surgery-480x320.jpg)
The lack of large-scale spine X-ray datasets with high-quality images and human expert annotations is the key obstacle. To the best of our knowledge, no existing studies are devoted to developing and evaluating a comprehensive system for classifying and localizing multiple spine lesions from X-ray scans. The evaluation of spinal bone lesions, however, is a challenging task for radiologists. Radiographs are used as the most critical imaging tool for identifying spine anomalies in clinical practice. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov PC, Mark R, Mietus JE, Moody GB, Peng CK, Stanley HE.
![x ray spine cervical x ray spine cervical](https://web.stanford.edu/dept/radiology/radiologysite/images/Med%20students%2019,%20spine/Cervical%20spine,%20normal%20(5).png)
Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P.C., Mark, R., Mietus, J.E., Moody, G.B., Peng, C.K. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. VinDr-SpineXR: A large annotated medical image dataset for spinal lesions detection and classification from radiographs (version 1.0.0). (2021) 'VinDr-SpineXR: A large annotated medical image dataset for spinal lesions detection and classification from radiographs' (version 1.0.0), PhysioNet. "VinDr-SpineXR: A large annotated medical image dataset for spinal lesions detection and classification from radiographs" (version 1.0.0). Pham, Hieu Huy, Nguyen Trung, Hieu, and Ha Quy Nguyen.