Natural language processing deep learning models for the differential between high-grade gliomas and metastasis: what if the key is how we report them?
Author:
Funder
Ministerio de Ciencia e Innovación
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-10202-4.pdf
Reference29 articles.
1. Muccio CF, Tedeschi E, Ugga L et al (2019) Solitary cerebral metastases vs. high-grade gliomas: usefulness of two MRI signs in the differential diagnosis. Anticancer Res 39:4905-4909. https://doi.org/10.21873/anticanres.13677
2. Suh CH, Kim HS, Jung SC, Kim SJ (2018) Diffusion-weighted imaging and diffusion tensor imaging for differentiating high-grade glioma from solitary brain metastasis: a systematic review and meta-analysis. AJNR Am J Neuroradiol 39:1208–1214. https://doi.org/10.3174/ajnr.A5650
3. Pons-Escoda A, Garcia-Ruiz A, Naval-Baudin P et al (2022) Voxel-level analysis of normalized DSC-PWI time-intensity curves: a potential generalizable approach and its proof of concept in discriminating glioblastoma and metastasis. Eur Radiol 32:3705–3715. https://doi.org/10.1007/s00330-021-08498-1
4. Liu J, Han H, Xu Y et al (2021) A comparison of the multimodal magnetic resonance imaging features of brain metastases vs. High-grade gliomas Am J Transl Res 13:3543–3548
5. Martín-Noguerol T, Mohan S, Santos-Armentia E, Cabrera-Zubizarreta A, Luna A. (2021) Advanced MRI assessment of non-enhancing peritumoral signal abnormality in brain lesions. Eur J Radiol. 143:109900. https://doi.org/10.1016/j.ejrad.2021.109900
Cited by 2 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. Systematic review of natural language processing (NLP) applications in magnetic resonance imaging (MRI);2024-07-21
2. The power of the radiologist’s last word: can deep learning models accurately differentiate between high-grade gliomas and metastasis through natural language processing on radiology reports?;European Radiology;2023-09-22
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