An N-Shaped Lightweight Network with a Feature Pyramid and Hybrid Attention for Brain Tumor Segmentation
Brain tumor segmentation using neural networks presents challenges in accurately capturing diverse tumor shapes and sizes while maintaining real-time performance. Additionally, addressing class imbalance is crucial for achieving accurate clinical results. To tackle these issues, this study proposes...
| Κύριοι συγγραφείς: | , , , |
|---|---|
| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
MDPI AG
2024-02-01
|
| Σειρά: | Entropy |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/1099-4300/26/2/166 |