Prediction of Ki-67 Expression in HIV-Associated Lung Adenocarcinoma Patients Using Multiple Machine Learning Models Based on CT Imaging Radiomics

Chang Song,1,* Jingsong Chen,2,* Chunyan Zhao,1,* Shulin Song,3,* Tong Yang,4 Aichun Huang,1 Renhao Liu,1 Yanxi Pan,3 Chaoyan Xu,1 Canling Chen,1 Qingdong Zhu1 1Tuberculosis Department, Nanning Fourth People’s Hospital, Nanning, Guangxi, 530023, People’s Republic of China; 2Gastroent...

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Hlavní autoři:	Song C, Chen J, Zhao C, Song S, Yang T, Huang A, Liu R, Pan Y, Xu C, Chen C, Zhu Q
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Dove Medical Press 2025-04-01
Edice:	Cancer Management and Research
Témata:	hiv lung adenocarcinoma ki-67 radiomics machine learning svm
On-line přístup:	https://www.dovepress.com/prediction-of-ki-67-expression-in-hiv-associated-lung-adenocarcinoma-p-peer-reviewed-fulltext-article-CMAR
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