Multiclassifier fusion based on radiomics features for the prediction of benign and malignant primary pulmonary solid nodules-Reference-Cited by-同舟云学术

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Multiclassifier fusion based on radiomics features for the prediction of benign and malignant primary pulmonary solid nodules

Published:2020-03 Issue:5 Volume:8 Page:171-171
ISSN:2305-5839
Container-title:Annals of Translational Medicine
language:
Short-container-title:Ann Transl Med

Author:

Shen Yao,Xu Fangyi,Zhu Wenchao,Hu Hongjie,Chen Ting,Li Qiang

Publisher

AME Publishing Company

Subject

General Medicine

Link

http://atm.amegroups.com/article/download/35947/pdf

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Different Localization Needles and Postures in Localization of Pulmonary Nodules;2024-08-09

2. Significance of MRI-based radiomics in predicting pathological complete response to neoadjuvant chemoradiotherapy of locally advanced rectal cancer: A narrative review;Cancer/Radiothérapie;2024-08

3. Predicting lymphovascular invasion in non-small cell lung cancer using deep convolutional neural networks on preoperative chest CT;Academic Radiology;2024-06

4. CT-Based Radiomics Predicts the Malignancy of Pulmonary Nodules: A Systematic Review and Meta-Analysis;Academic Radiology;2023-12

5. Application of radiomics in diagnosis and treatment of lung cancer;Frontiers in Pharmacology;2023-11-01

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