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Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study
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@article{{QIMS}{83146}, author = {Ding, J., Zhao, R., Qiu, Q., Chen, J., Duan, J., Cao, X., Yin, Y.}, title = {Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study}, journal = {Quantitative Imaging in Medicine and Surgery}, volume = {12}, number = {2}, year = {2021}, url = {https://qims.amegroups.org/article/view/83146} }