Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images
Abstract Automated coronary angiography assessment requires precise vessel segmentation, a task complicated by uneven contrast filling and background noise. Our research introduces an ensemble U-Net model, SE-RegUNet, designed to accurately segment coronary vessels using 100 labeled angiographies fr...
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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2024-03-01
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| Serie: | Scientific Reports |
| Accesso online: | https://doi.org/10.1038/s41598-024-57198-5 |
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