Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes

Published:2023-05-06 Issue:10 Volume:33 Page:6804-6816
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Chen Xiangmeng,Feng Bao,Xu Kuncai,Chen Yehang,Duan Xiaobei,Jin Zhifa,Li Kunwei,Li Ronggang,Long Wansheng^ORCID,Liu Xueguo

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Medical Research Foundation of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-09690-1.pdf

Reference30 articles.

1. de Jong WK, Blaauwgeers JLG, Schaapveld M et al (2008) Thymic epithelial tumours: a population-based study of the incidence, diagnostic procedures and therapy. Eur J Cancer 44(1):123–130. https://doi.org/10.1016/j.ejca.2007.11.004

2. Marx A, Chan JK, Coindre JM et al (2015) The 2015 World Health Organization classification of tumors of the thymus: continuity and changes. J Thorac Oncol 10(10):1383–1395. https://doi.org/10.1097/JTO.0000000000000654

3. Shintani Y, Funaki S, Ose N et al (2021) Surgical management of thymic epithelial tumors. Surg Today 51(3):331–339. https://doi.org/10.1007/s00595-020-02070-y

4. Molina TJ, Bluthgen MV, Chalabreysse L et al (2021) Impact of expert pathologic review of thymic epithelial tumours on diagnosis and management in a real-life setting: a RYTHMIC study. Eur J Cancer 143:158–167. https://doi.org/10.1016/j.ejca.2020.11.011

5. Süveg K, Putora PM, Joerger M et al (2021) Radiotherapy for thymic epithelial tumours: a review. Trasl Lung Cancer Res 10(4):2088–2100

Cited by 3 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. Identification and risk classification of thymic epithelial tumors using 3D computed tomography images and deep learning models;Biomedical Signal Processing and Control;2024-09

2. Multimodal modeling with low-dose CT and clinical information for diagnostic artificial intelligence on mediastinal tumors: a preliminary study;BMJ Open Respiratory Research;2024-04

3. Deep Learning Radiomics Nomogram Based on Magnetic Resonance Imaging for Differentiating Type I/II Epithelial Ovarian Cancer;Academic Radiology;2023-08

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