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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...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Ann Transl Med
Main Authors: Shen, Yao, Xu, Fangyi, Zhu, Wenchao, Hu, Hongjie, Chen, Ting, Li, Qiang
Format: Artigo
Jezik:Inglês
Izdano: AME Publishing Company 2020
Teme:
Online dostop: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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