A CT-based radiomics signature for prediction of HER2 overexpression and treatment efficacy of trastuzumab in advanced gastric cancer
Author:
Publisher
AME Publishing Company
Subject
Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology
Link
https://tcr.amegroups.com/article/download/70021/pdf
Cited by 5 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. Can Machine Learning Models Based on Computed Tomography Radiomics and Clinical Characteristics Provide Diagnostic Value for Epstein-Barr Virus–Associated Gastric Cancer?;Journal of Computer Assisted Tomography;2024-06-25
2. Radiomics based on machine learning algorithms could predict prognosis and postoperative chemotherapy benefits of patients with gastric cancer: a retrospective cohort study;Journal of Gastrointestinal Oncology;2023-10
3. Role of radiomics in predicting lymph node metastasis in gastric cancer: a systematic review;Frontiers in Medicine;2023-08-16
4. Correlation of the Degree of Hydronephrosis and Computed Tomography Value of Calculi with Efficacy of Ureteroscopic Lithotripsy in Patients with Upper Urinary Tract Infectious Calculi;Archivos Españoles de Urología;2023
5. A CT-based radiomics signature for prediction of HER2 overexpression and treatment efficacy of trastuzumab in advanced gastric cancer;Translational Cancer Research;2022-12
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