Image 2_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif

Image 2_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif

Objective<p>To develop a differential diagnostic prediction model for distinguishing large opacities in pneumoconiosis from peripheral lung cancer based on CT radiomics.</p>Methods<p>A total of 103 cases of large opacities in pneumoconiosis and 85 cases of peripheral lung cancer we...

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Bibliographic Details
Main Author: Xiaobing Li (291454) (author)
Other Authors: Wei Wang (17594) (author), Xuemei Li (232384) (author), Qianqian Liu (381114) (author), Yongsheng Liu (142720) (author), Li Wang (15202) (author), Qian Li (114642) (author), Li Zhang (8200) (author), Wutao Xie (22768748) (author)
Published: 2025
Subjects:
Foetal Development and Medicine
pneumoconiosis
large opacities
CT radiomics
AdaBoost
machine learning
diagnostic model
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