Fig 7 -

<p>Decision curve analysis for the four models in the training (a) and test (b) datasets. “All” indicates that all lesions were diagnosed as lung adenocarcinoma. “None” indicated that all lesions were diagnosed as benign nodules and masses, and the net benefit was zero. <i>CIM</i>,...

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Bibliographic Details
Main Author:	Jiayue Xie (9448171) (author)
Other Authors:	Yifan He (3986123) (author), Siyu Che (9950878) (author), Wenjing Zhao (318619) (author), Yuxin Niu (250478) (author), Dongxue Qin (12936324) (author), Zhiyong Li (47765) (author)
Published:	2024
Subjects:	Cancer Infectious Diseases Space Science multiscale computed tomography lung adenocarcinoma presenting final feature selection data dimensionality reduction differential diagnostic capability conventional imaging features larger solid nodules better radiomic model solid nodules radiomics features differential diagnosis radiomics model model performance image model combined model best model xlink "> two centers training dataset test dataset noninvasive tool junior radiologists january 2019 january 2010 four models february 2022 exclusion criteria center 2 center 1 50 ).
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Fig 7 -

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