3D medical image segmentation via sequential 2D slice processing
Three-dimensional (3D) medical image segmentation is vital in clinical applications, but faces challenges like computational complexity and spatial context loss in 2D processing. To address these issues, we propose 3DAS2D, which processes 3D images as 2D slices while retaining volumetric data for be...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2026-04-01
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| Colección: | ICT Express |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2405959525001080 |
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