A novel MPDENet model and efficient combined loss function for real-time pixel-level segmentation detection of tunnel lining cracks
Recent studies have demonstrated the potential of using convolutional neural networks (CNNs) for tunnel lining crack detection, offering a promising alternative to manual inspection methods. However, the performance of CNNs is often hindered by the sample imbalance in crack images, and the existing...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525004164 |
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