Res-ECA-UNet++: an automatic segmentation model for ovarian tumor ultrasound images based on residual networks and channel attention mechanism
ObjectiveUltrasound imaging has emerged as the preferred imaging modality for ovarian tumor screening due to its non-invasive nature and real-time dynamic imaging capabilities. However, in many developing countries, ultrasound diagnosis remains dependent on specialist physicians, where the shortage...
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| Huvudupphov: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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Frontiers Media S.A.
2025-05-01
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| Serie: | Frontiers in Medicine |
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| Länkar: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1589356/full |
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