Hybrid-DANet: An Encoder-Decoder Based Hybrid Weights Alignment With Multi-Dilated Attention Network for Automatic Brain Tumor Segmentation
Gliomas are the most common and highly growing tumors lead to high mortality rate in their highest grade. The early diagnosis of gliomas, and treatment planning are most important steps to enhance the life expectancy of a patient. Among the modern imaging techniques, magnetic resonance imaging (MRI)...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9953086/ |