Improvement of Multiparametric MR Image Segmentation by Augmenting the Data With Generative Adversarial Networks for Glioma Patients

Improvement of Multiparametric MR Image Segmentation by Augmenting the Data With Generative Adversarial Networks for Glioma Patients

Every year thousands of patients are diagnosed with a glioma, a type of malignant brain tumor. MRI plays an essential role in the diagnosis and treatment assessment of these patients. Neural networks show great potential to aid physicians in the medical image analysis. This study investigated the cr...

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Bibliographic Details
Main Authors:	Eric Nathan Carver, Zhenzhen Dai, Evan Liang, James Snyder, Ning Wen
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-01-01
Series:	Frontiers in Computational Neuroscience
Subjects:	GaN U-net glioma GBM segmentation
Online Access:	https://www.frontiersin.org/articles/10.3389/fncom.2020.495075/full

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