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

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 C...

Full description

Saved in:
Bibliographic Details
Main Authors: Song C, Chen J, Zhao C, Song S, Yang T, Huang A, Liu R, Pan Y, Xu C, Chen C, Zhu Q
Format: Article
Language:English
Published: Dove Medical Press 2025-04-01
Series:Cancer Management and Research
Subjects:
hiv
lung adenocarcinoma
ki-67
radiomics
machine learning
svm
Online Access:https://www.dovepress.com/prediction-of-ki-67-expression-in-hiv-associated-lung-adenocarcinoma-p-peer-reviewed-fulltext-article-CMAR
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.dovepress.com/prediction-of-ki-67-expression-in-hiv-associated-lung-adenocarcinoma-p-peer-reviewed-fulltext-article-CMAR

Similar Items