SU-E-J-258: Prediction of Cervical Cancer Treatment Response Using Radiomics Features Based On F18-FDG Uptake in PET Images-Reference-Cited by-同舟云学术

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SU-E-J-258: Prediction of Cervical Cancer Treatment Response Using Radiomics Features Based On F18-FDG Uptake in PET Images

Published:2015-06 Issue:6Part11 Volume:42 Page:3326-3326
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Altazi B,Fernandez D,Zhang G,Biagioli M,Moros E,Moffitt H. Lee

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1118/1.4924344/fullpdf

Cited by 10 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 radiomics model for predicting the response to methylprednisolone in brain necrosis after radiotherapy for nasopharyngeal carcinoma;Radiation Oncology;2023-03-01

2. Deep learning-extracted CT imaging phenotypes predict response to total resection in colorectal cancer;Acta Radiologica;2023-02-10

3. Parallel comparison and combining effect of radiomic and emerging genomic data for prognostic stratification of non‐small cell lung carcinoma patients;Thoracic Cancer;2020-07-22

4. Improving survival prediction of high-grade glioma via machine learning techniques based on MRI radiomic, genetic and clinical risk factors;European Journal of Radiology;2019-11

5. Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer;EBioMedicine;2018-10

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