The multimodal brain tumor image segmentation based on convolutional neural networks
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8115600/8167044/08167234.pdf?arnumber=8167234
Cited by 27 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. SwinVNETR: Swin V-net Transformer with non-local block for volumetric MRI Brain Tumor Segmentation;Automatika;2024-07-09
2. Brain tumor segmentation using 3D UNet;AIP Conference Proceedings;2024
3. A Comparative Analysis of U-Net-Based Segmentation Techniques for MRI Images;Lecture Notes in Networks and Systems;2024
4. Res-Net-VGG19: Improved tumor segmentation using MR images based on Res-Net architecture and efficient VGG gliomas grading;Applications in Engineering Science;2023-12
5. Brain Tumor Image Segmentation using Box-Unet Architecture;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19
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