A novel difficult-to-segment samples focusing network for oral CBCT image segmentation
Abstract Using deep learning technology to segment oral CBCT images for clinical diagnosis and treatment is one of the important research directions in the field of clinical dentistry. However, the blurred contour and the scale difference limit the segmentation accuracy of the crown edge and the roo...
Tallennettuna:
| Päätekijät: | , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Portfolio
2024-03-01
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| Sarja: | Scientific Reports |
| Aiheet: | |
| Linkit: | https://doi.org/10.1038/s41598-024-55522-7 |
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