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Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering
Purpose: The goal of this study is to develop innovative methods for identifying radiomic features that are reproducible over varying image acquisition settings. Approach: We propose a regularized partial correlation network to identify reliable and reproducible radiomic features. This approach was...
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| Pubblicato in: | J Med Imaging (Bellingham) |
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| Autori principali: | , , , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Society of Photo-Optical Instrumentation Engineers
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8085581/ https://ncbi.nlm.nih.gov/pubmed/33954225 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.3.031904 |
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