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Multiclassifier fusion based on radiomics features for the prediction of benign and malignant primary pulmonary solid nodules
BACKGROUND: To test the ability of a multiclassifier model based on radiomics features to predict benign and malignant primary pulmonary solid nodules. METHODS: Computed tomography (CT) images of 342 patients with primary pulmonary solid nodules confirmed by histopathology or follow-up were retrospe...
Kaydedildi:
| Yayımlandı: | Ann Transl Med |
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| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
AME Publishing Company
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7154443/ https://ncbi.nlm.nih.gov/pubmed/32309318 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/atm.2020.01.135 |
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