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Comparison of Radiomic Feature Aggregation Methods for Patients with Multiple Tumors
BACKGROUND: Radiomic feature analysis has been shown to be effective at modeling cancer outcomes. It has not yet been established how to best combine these radiomic features in patients with multifocal disease. As the number of patients with multifocal metastatic cancer continues to rise, there is a...
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| 出版年: | medRxiv |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Cold Spring Harbor Laboratory
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7654896/ https://ncbi.nlm.nih.gov/pubmed/33173902 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2020.11.04.20226159 |
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