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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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Bibliografiske detaljer
Principais autores: Shushan Wei, Zhaoting Hu, Lu Tan
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2025-05-01
Serier:Frontiers in Medicine
Fag:
Online adgang:https://www.frontiersin.org/articles/10.3389/fmed.2025.1589356/full
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