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Standing on the Shoulders of Giants: Improving Medical Image Segmentation via Bias Correction
We propose a simple strategy to improve automatic medical image segmentation. The key idea is that without deep understanding of a segmentation method, we can still improve its performance by directly calibrating its results with respect to manual segmentation. We formulate the calibration process a...
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| Autores principales: | , , , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2010
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3095022/ https://ncbi.nlm.nih.gov/pubmed/20879389 |
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