Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network

Author:

Huang PuORCID,Li Dengwang,Jiao Zhicheng,Wei DongmingORCID,Cao BingORCID,Mo Zhanhao,Wang Qian,Zhang Han,Shen Dinggang

Funder

National Natural Science Foundation of China

Taishan Scholar Project of Shandong Province

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference50 articles.

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3. Automated brain tumour segmentation techniques a review;Angulakshmi;Int. J. Imaging Syst. Technol.,2017

4. Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J., Freymann, J., Farahani, K., Davatzikos, C., 2017a. Segmentation labels and radiomic features for the pre-operative scans of the TCGA-LGG collection. The Cancer Imaging Archive 286.

5. Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features;Bakas;Sci. Data,2017

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