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Agreement and reliability statistics for shapes
We describe a methodology for assessing agreement and reliability among a set of shapes. Motivated by recent studies of the reliability of manually segmented medical images, we focus on shapes composed of rasterized, binary-valued data representing closed geometric regions of interest. The methodolo...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6107162/ https://ncbi.nlm.nih.gov/pubmed/30138326 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0202087 |
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