SDMA-Net: Swin Transformer-Based Dynamic Memory-Attention Network for Endoscopic Navigation
Accurate endoscopic motion navigation is crucial for minimally invasive surgical procedures. Nevertheless, endoscopic video data often exhibit low texture, variable lighting, and dynamic motion patterns, which poses significant challenges to existing methods. To address these issues, we propose a no...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11025809/ |
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