Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution

Author:

Zeineldin Ramy A.,Karar Mohamed E.,Burgert Oliver,Mathis-Ullrich Franziska

Publisher

Springer Nature Switzerland

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A hybrid approach for multi modal brain tumor segmentation using two phase transfer learning, SSL and a hybrid 3DUNET;Computers and Electrical Engineering;2024-09

2. Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

3. FLAIR MRI sequence synthesis using squeeze attention generative model for reliable brain tumor segmentation;Alexandria Engineering Journal;2024-07

4. Two-Stage Diffusion Model for 3D Medical Image Segmentation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. Deep learning based 3D multimodal CNN for brain tumor segmentation and detection;Iran Journal of Computer Science;2024-06-16

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