Author:
Henry Théophraste,Carré Alexandre,Lerousseau Marvin,Estienne Théo,Robert Charlotte,Paragios Nikos,Deutsch Eric
Publisher
Springer International Publishing
Reference35 articles.
1. Lecture Notes in Computer Science;Z Jiang,2020
2. Athiwaratkun, B., Finzi, M., Izmailov, P., Wilson, A.G.: There are many consistent explanations of unlabeled data: why you should average, p. 22 (2019)
3. Bakas, S., et al.: Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features. Sci. Data 4, 170117 (2017). https://doi.org/10.1038/sdata.2017.117
4. Bakas, S., et al.: Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. arXiv:1811.02629 [cs, stat], April 2019
5. Bakas, S., et al.: Segmentation labels and radiomic features for the pre-operative scans of the TCGA-GBM collection. Cancer Imaging Arch. (2017). https://doi.org/10.7937/K9/TCIA.2017.GJQ7R0EF
Cited by
68 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