Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images
Author:
Publisher
Frontiers Media SA
Subject
Cellular and Molecular Neuroscience,Neuroscience (miscellaneous)
Reference19 articles.
1. Identifying the best machine learning algorithms for brain tumor segmentation progression assessment and overall survival prediction in the BRATS challenge;Bakas;arXiv 1811:02629,2018
2. Segmentation labels and radiomic features for the pre-operative scans of the TCGA-LGG collection;Bakas;Cancer Imaging Arch
3. Segmentation labels and radiomic features for the pre-operative scans of the TCGA-GBM collection;Bakas;Cancer Imaging Arch
4. Advancing The cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features;Bakas;Sci. Data
5. Automatic semantic segmentation of brain gliomas from MRI images using a deep cascaded neural network;Cui;J. Healthc. Eng.,2018
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