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False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
PURPOSE: A number of recent publications have proposed that a family of image-derived indices, called texture features, can predict clinical outcome in patients with cancer. However, the investigation of multiple indices on a single data set can lead to significant inflation of type-I errors. We rep...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418696/ https://www.ncbi.nlm.nih.gov/pubmed/25938522 http://dx.doi.org/10.1371/journal.pone.0124165 |