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A Soft Label Method for Medical Image Segmentation with Multirater Annotations
In medical image analysis, collecting multiple annotations from different clinical raters is a typical practice to mitigate possible diagnostic errors. For such multirater labels' learning problems, in addition to majority voting, it is a common practice to use soft labels in the form of full-p...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966563/ https://www.ncbi.nlm.nih.gov/pubmed/36851939 http://dx.doi.org/10.1155/2023/1883597 |