Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
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Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-11723-8_9
Reference24 articles.
1. Bakas, S., et al.: In vivo detection of EGFRvIII in glioblastoma via perfusion magnetic resonance imaging signature consistent with deep peritumoral infiltration: the $$\phi $$ -index. Clin. Cancer Res. 23(16), 4724–4734 (2017). https://doi.org/10.1158/1078-0432.CCR-16-1871
2. Chang, K., et al.: Residual convolutional neural network for the determination of IDH status in low- and high-grade gliomas from MR imaging. Clin. Cancer Res. 24(5), 1073–1081 (2018). https://doi.org/10.1158/1078-0432.CCR-17-2236
3. Korfiatis, P., Kline, T.L., Lachance, D.H., Parney, I.F., Buckner, J.C., Erickson, B.J.: Residual deep convolutional neural network predicts MGMT methylation status. J. Digit. Imaging 30(5), 622–628 (2017). https://doi.org/10.1007/s10278-017-0009-z
4. Binder, Z.A., et al.: Epidermal growth factor receptor extracellular domain mutations in glioblastoma present opportunities for clinical imaging and therapeutic development. Cancer Cell 34(1), 163–177 (2018). https://doi.org/10.1016/j.ccell.2018.06.006
5. Akbari, H., et al.: Imaging Surrogates of infiltration obtained via multiparametric imaging pattern analysis predict subsequent location of recurrence of glioblastoma. Neurosurgery 78(4), 572–580 (2016). https://doi.org/10.1227/NEU.0000000000001202
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