<p>Radiomic signature: a non-invasive biomarker for discriminating invasive and non-invasive cases of lung adenocarcinoma</p>-Reference-Cited by-同舟云学术

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Radiomic signature: a non-invasive biomarker for discriminating invasive and non-invasive cases of lung adenocarcinoma

Published:2019-08 Issue: Volume:Volume 11 Page:7825-7834
ISSN:1179-1322
Container-title:Cancer Management and Research
language:en
Short-container-title:CMAR

Author:

Yang Bin,Guo Lili^ORCID,Lu Guangming,Shan Wenli,Duan Lizhen,Duan Shaofeng

Publisher

Informa UK Limited

Subject

Oncology

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A CT-Based Radiomics Model for Prediction of Prognosis in Patients with Novel Coronavirus Disease (COVID-19) Pneumonia: A Preliminary Study;Diagnostics;2023-04-19

2. Radiomics-based analysis of CT imaging for the preoperative prediction of invasiveness in pure ground-glass nodule lung adenocarcinomas;Insights into Imaging;2023-02-03

3. Feature selection methods and predictive models in CT lung cancer radiomics;Journal of Applied Clinical Medical Physics;2022-12-17

4. Construction and validation of a prognostic model for lung adenocarcinoma based on endoplasmic reticulum stress-related genes;Scientific Reports;2022-11-18

5. Combined whole-lesion radiomic and iodine analysis for differentiation of pulmonary tumors;Scientific Reports;2022-07-12

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