Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

Published:2015-12-03 Issue: Volume:5 Page:
ISSN:2234-943X
Container-title:Frontiers in Oncology
language:
Short-container-title:Front. Oncol.

Author:

Parmar Chintan,Grossmann Patrick,Rietveld Derek,Rietbergen Michelle M.,Lambin Philippe,Aerts Hugo J. W. L.

Funder

Technologiestichting STW

Seventh Framework Programme

European Commission

KWF Kankerbestrijding

National Institutes of Health

Publisher

Frontiers Media SA

Subject

Cancer Research,Oncology

Reference43 articles.

1. Radiomics: extracting more information from medical images using advanced feature analysis;Lambin;Eur J Cancer,2012

2. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach;Aerts;Nat Commun,2014

3. Cancer heterogeneity: implications for targeted therapeutics;Fisher;Br J Cancer,2013

4. Breast cancer intratumor genetic heterogeneity: causes and implications;Ng;Expert Rev Anticancer Ther,2012

5. Intratumoral heterogeneity of receptor tyrosine kinases EGFR and PDGFRA amplification in glioblastoma defines subpopulations with distinct growth factor response;Szerlip;Proc Natl Acad Sci U S A,2012

Cited by 301 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. Innovative Diagnostic Approaches for Predicting Knee Cartilage Degeneration in Osteoarthritis Patients: A Radiomics-Based Study;Information Systems Frontiers;2024-09-12

2. A Genetic Programming Approach to Radiomic-Based Feature Construction for Survival Prediction in Non-Small Cell Lung Cancer;Applied Sciences;2024-08-07

3. CT and MRI radiomic features of lung cancer (NSCLC): comparison and software consistency;European Radiology Experimental;2024-06-17

4. Different MRI-based radiomics models for differentiating misdiagnosed or ambiguous pleomorphic adenoma and Warthin tumor of the parotid gland: a multicenter study;Frontiers in Oncology;2024-06-13

5. A machine learning-based model analysis for serum markers of liver fibrosis in chronic hepatitis B patients;Scientific Reports;2024-05-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3