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CFANet: Context Feature Fusion and Attention Mechanism Based Network for Small Target Segmentation in Medical Images
Medical image segmentation plays a crucial role in clinical diagnosis, treatment planning, and disease monitoring. The automatic segmentation method based on deep learning has developed rapidly, with segmentation results comparable to clinical experts for large objects, but the segmentation accuracy...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650041/ https://www.ncbi.nlm.nih.gov/pubmed/37960438 http://dx.doi.org/10.3390/s23218739 |