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...

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Bibliografiska uppgifter
I publikationen:Ann Transl Med
Huvudupphovsmän: Shen, Yao, Xu, Fangyi, Zhu, Wenchao, Hu, Hongjie, Chen, Ting, Li, Qiang
Materialtyp: Artigo
Språk:Inglês
Publicerad: AME Publishing Company 2020
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Original Article
Länkar: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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