3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework

@article{Guan20223DAA,
  title={3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework},
  author={Xi Guan and Guang Yang and Jianming Ye and Weiji Yang and Xiaomei Xu and Weiwei Jiang and Xiaobo Lai},
  journal={BMC Medical Imaging},
  year={2022},
  volume={22}
}
Background Glioma is the most common brain malignant tumor, with a high morbidity rate and a mortality rate of more than three percent, which seriously endangers human health. The main method of acquiring brain tumors in the clinic is MRI. Segmentation of brain tumor regions from multi-modal MRI scan images is helpful for treatment inspection, post-diagnosis monitoring, and effect evaluation of patients. However, the common operation in clinical brain tumor segmentation is still manual… 
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