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...

Полное описание

Библиографические подробности

Главные авторы:	Song C, Chen J, Zhao C, Song S, Yang T, Huang A, Liu R, Pan Y, Xu C, Chen C, Zhu Q
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Dove Medical Press 2025-04-01
Серии:	Cancer Management and Research
Предметы:	hiv lung adenocarcinoma ki-67 radiomics machine learning svm
Online-ссылка:	https://www.dovepress.com/prediction-of-ki-67-expression-in-hiv-associated-lung-adenocarcinoma-p-peer-reviewed-fulltext-article-CMAR
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!