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Three validation metrics for automated probabilistic image segmentation of brain tumours
The validity of brain tumour segmentation is an important issue in image processing because it has a direct impact on surgical planning. We examined the segmentation accuracy based on three two-sample validation metrics against the estimated composite latent gold standard, which was derived from sev...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2004
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1463246/ https://ncbi.nlm.nih.gov/pubmed/15083482 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.1723 |
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