Publisher
Springer Science and Business Media LLC
Reference5 articles.
1. Wang, X.-H., Long, L.-H., Cui, Y., Jia, A. Y., Zhu, X.-G., Wang, H.-Z. et al. MRI-based radiomics model for preoperative prediction of 5-year survival in patients with hepatocellular carcinoma. Br. J. Cancer (in press). https://doi.org/10.1038/s41416-019-0706-0.
2. Sollini, M., Antunovic, L., Chiti, A., Kirienko, M. Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics. Eur. J. Nucl. Med. Mol. Imaging 46, 2656–2672 (2019).
3. Fryback, D. G. & Thornbury, J. R. The efficacy of diagnostic imaging. Med. Decis. Mak. 11, 88–94 (1991).
4. Gevaert, O., Xu, J., Hoang, C. D., Leung, A. N., Xu, Y., Quon, A. et al. Non–small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data—methods and preliminary results. Radiology 264, 387–96 (2012).
5. Lambin, P., Leijenaar, R. T., Deist, T. M., Peerlings, J., De Jong, E. E., Van Timmeren, J. et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat. Rev. Clin. Oncol. 14, 749 (2017).
Cited by
27 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献