Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://link.springer.com/content/pdf/10.1007/s10278-021-00506-6.pdf
Reference62 articles.
1. Court, L.E., Fave, X., Mackin, D., Lee, J., Yang, J., Zhang, L.: Computational resources for radiomics. Translational Cancer Research 5(4) (2016). http://tcr.amegroups.com/article/view/8409
2. Lee, S.H., Cho, H.h., Lee, H.Y., Park, H.: Clinical impact of variability on ct radiomics and suggestions for suitable feature selection: a focus on lung cancer. Cancer Imaging, 19(1):54, 2019. https://doi.org/10.1186/s40644-019-0239-z
3. Béresová, M., Forgács, A., Bujdosó, B., Székely, A., Varga, J., Berényi, E., Balkay, L.: Comparing the reliability of biomedical texture analysis tools on different image types. Acta Polytechnica Hungarica 15(7), 29–48 (2018). https://doi.org/10.12700/APH.15.7.2018.7.2
4. Bianchi, J., Gonçalves, J.R., Ruellas, A.C.d.O., Vimort, J.B., Yatabe, M., Paniagua, B., Hernandez, P., Benavides, E., Soki, F.N., Cevidanes, L.H.S.: Software comparison to analyze bone radiomics from high resolution cbct scans of mandibular condyles. Dentomaxillofacial Radiology 48(6), 20190049 (2019). https://doi.org/10.1259/dmfr.20190049. PMID: 31075043
5. Foy, J.J., Robinson, K.R., Li, H., Giger, M.L., Al-Hallaq, H., Armato, S.G.: Variation in algorithm implementation across radiomics software. Journal of Medical Imaging 5(4), 1 – 10 (2018). https://doi.org/10.1117/1.JMI.5.4.044505
Cited by 14 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. Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson’s disease;European Radiology;2024-07-03
2. Development and validation of a predictive model for vertebral fracture risk in osteoporosis patients;European Spine Journal;2024-07-02
3. Radiomics Features Extracted From Pre- and Postprocedural Imaging in Early Prediction of Treatment Response in Patients Undergoing Transarterial Radioembolization of Hepatic Lesions: A Systematic Review, Meta-Analysis, and Quality Appraisal Study;Journal of the American College of Radiology;2024-05
4. Benchmarking radiomic features using CT simulated liver lesions;Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications;2024-04-02
5. Value of multi‐center 18F‐FDG PET/CT radiomics in predicting EGFR mutation status in lung adenocarcinoma;Medical Physics;2024-01-29
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