Funder
Japan Society for the Promotion of Science
Ministry of Education, Culture, Sports, Science and Technology
National Natural Science Foundation of China
Reference68 articles.
1. Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features;Bakas;Sci. Data,2017
2. Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studies;Weizman;Med. Phys.,2014
3. The multimodal brain tumor image segmentation benchmark (BRATS);Menze;IEEE Trans. Med. Imaging,2014
4. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge;Bakas,2018
5. G. Urban, M. Bendszus, F. Hamprecht, J. Kleesiek, Multi-modal brain tumor segmentation using deep convolutional neural networks, in: MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, Winning Contribution, 2014, pp. 31–35.
Cited by
4 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