Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Reference49 articles.
1. Thrall JH, Li X, Li Q et al (2018) Artificial intelligence and machine learning in radiology: opportunities, challenges, pitfalls, and criteria for success. J Am Coll Radiol 15:504–508. https://doi.org/10.1016/j.jacr.2017.12.026
2. Menze BH, Jakab A, Bauer S et al (2015) The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans Med Imaging 34:1993–2024. https://doi.org/10.1109/TMI.2014.2377694
3. Bakas S, Reyes M, Jakab A, et al. (2018) Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
4. Challen R, Denny J, Pitt M et al (2019) Artificial intelligence, bias and clinical safety. BMJ Qual Saf 28:231–237. https://doi.org/10.1136/bmjqs-2018-008370
5. Allen B, Seltzer SE, Langlotz CP et al (2019) A road map for translational research on artificial intelligence in medical imaging: from the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop. J Am Coll Radiol 16:1179–1189. https://doi.org/10.1016/j.jacr.2019.04.014
Cited by
11 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