• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Reply to comment on predicting the risk stratification of gastrointestinal stromal tumors using machine learning‑based ultrasound radiomics.

作者信息

Zhuo Minling, Tang Yi, Guo Jingjing, Qian Qingfu, Xue Ensheng, Chen Zhikui

机构信息

Department of Ultrasound, Fujian Medical University Affiliated Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China.

出版信息

J Med Ultrason (2001). 2024 Apr;51(2):377-378. doi: 10.1007/s10396-024-01425-z. Epub 2024 Mar 11.

DOI:10.1007/s10396-024-01425-z
PMID:38466516
Abstract
摘要

相似文献

1
Reply to comment on predicting the risk stratification of gastrointestinal stromal tumors using machine learning‑based ultrasound radiomics.对关于使用基于机器学习的超声放射组学预测胃肠道间质瘤风险分层的评论的回复
J Med Ultrason (2001). 2024 Apr;51(2):377-378. doi: 10.1007/s10396-024-01425-z. Epub 2024 Mar 11.
2
Comment on "Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics".对“基于机器学习的超声放射组学预测胃肠道间质瘤的风险分层”的评论
J Med Ultrason (2001). 2024 Apr;51(2):375. doi: 10.1007/s10396-024-01424-0. Epub 2024 Mar 2.
3
Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics.基于机器学习的超声放射组学预测胃肠道间质瘤的风险分层。
J Med Ultrason (2001). 2024 Jan;51(1):71-82. doi: 10.1007/s10396-023-01373-0. Epub 2023 Oct 5.
4
Computer-aided diagnosis of gastrointestinal stromal tumors: a radiomics method on endoscopic ultrasound image.计算机辅助诊断胃肠道间质瘤:内镜超声图像的放射组学方法。
Int J Comput Assist Radiol Surg. 2019 Oct;14(10):1635-1645. doi: 10.1007/s11548-019-01993-3. Epub 2019 May 2.
5
New advances in radiomics of gastrointestinal stromal tumors.胃肠道间质瘤的放射组学新进展
World J Gastroenterol. 2020 Aug 28;26(32):4729-4738. doi: 10.3748/wjg.v26.i32.4729.
6
Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features.基于放射组学和深度卷积特征融合的胃肠道间质瘤分类。
IEEE J Biomed Health Inform. 2019 May;23(3):1181-1191. doi: 10.1109/JBHI.2018.2841992. Epub 2018 May 29.
7
Endoscopic ultrasound-guided angiotherapy of a large bleeding gastrointestinal stromal tumor.内镜超声引导下对大的出血性胃肠道间质瘤进行血管治疗。
Endoscopy. 2013;45 Suppl 2 UCTN:E326-7. doi: 10.1055/s-0033-1344875. Epub 2013 Oct 7.
8
Risk stratification for 1- to 2-cm gastric gastrointestinal stromal tumors: visual assessment of CT and EUS high-risk features versus CT radiomics analysis.1至2厘米胃胃肠道间质瘤的风险分层:CT和EUS高危特征的视觉评估与CT影像组学分析
Eur Radiol. 2023 Apr;33(4):2768-2778. doi: 10.1007/s00330-022-09228-x. Epub 2022 Nov 30.
9
Value of radiomics model based on enhanced computed tomography in risk grade prediction of gastrointestinal stromal tumors.基于增强 CT 的影像组学模型预测胃肠道间质瘤危险度分级的价值
Sci Rep. 2021 Jun 8;11(1):12009. doi: 10.1038/s41598-021-91508-5.
10
Computed tomography-based radiomics model for discriminating the risk stratification of gastrointestinal stromal tumors.基于计算机断层扫描的放射组学模型用于鉴别胃肠道间质瘤的风险分层。
Radiol Med. 2020 May;125(5):465-473. doi: 10.1007/s11547-020-01138-6. Epub 2020 Feb 11.

本文引用的文献

1
TN-USMA Net: Triple normalization-based gastrointestinal stromal tumors classification on multicenter EUS images with ultrasound-specific pretraining and meta attention.TN-USMA 网络:基于三重归一化的多中心 EUS 图像胃间质瘤分类,采用超声特异性预训练和元注意力。
Med Phys. 2021 Nov;48(11):7199-7214. doi: 10.1002/mp.15172. Epub 2021 Aug 30.
2
Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions.基于放射组学和机器学习的乳腺超声临床价值:一项用于鉴别良恶性病变的多中心研究。
Eur Radiol. 2021 Dec;31(12):9511-9519. doi: 10.1007/s00330-021-08009-2. Epub 2021 May 21.
3
Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images.
集成深度学习模型在超声胆囊图像诊断先天性胆道闭锁方面优于人类专家。
Nat Commun. 2021 Feb 24;12(1):1259. doi: 10.1038/s41467-021-21466-z.
4
Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer.基于深度学习的多组学整合可稳健预测肝癌患者的生存情况。
Clin Cancer Res. 2018 Mar 15;24(6):1248-1259. doi: 10.1158/1078-0432.CCR-17-0853. Epub 2017 Oct 5.
5
Gastrointestinal stromal tumour of the stomach showing lymph node metastases.胃胃肠道间质瘤伴淋巴结转移。
Histopathology. 2005 Oct;47(4):438-9. doi: 10.1111/j.1365-2559.2005.02133.x.
6
Two hundred gastrointestinal stromal tumors: recurrence patterns and prognostic factors for survival.两百例胃肠道间质瘤:复发模式及生存预后因素
Ann Surg. 2000 Jan;231(1):51-8. doi: 10.1097/00000658-200001000-00008.