Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference79 articles.
1. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach;Aerts;Nature Commun.,2014
2. OMERO: Flexible, model-driven data management for experimental biology;Allan;Nature Methods,2012
3. Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features;Bakas;Sci. Data,2017
4. Segmentation labels and radiomic features for the pre-operative scans of the TCGA-GBM collection;Bakas;Cancer Imaging Arch.,2017
5. Segmentation labels and radiomic features for the pre-operative scans of the TCGA-LGG collection;Bakas;Cancer Imaging Arch.,2017