• 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

杜克肺癌筛查(DLCS)数据集:带注释的低剂量胸部筛查CT参考数据集。

The Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-Dose Screening Thoracic CT.

作者信息

Wang Avivah J, Tushar Fakrul Islam, Harowicz Michael R, Tong Betty C, Lafata Kyle J, Tailor Tina D, Lo Joseph Y

机构信息

Duke University School of Medicine, 40 Duke Medicine Cir, Durham, NC 27710.

Department of Radiology, Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Duke University School of Medicine, Durham, NC.

出版信息

Radiol Artif Intell. 2025 Jul;7(4):e240248. doi: 10.1148/ryai.240248.

DOI:10.1148/ryai.240248
PMID:40237601
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12319698/
Abstract

The Duke Lung Cancer Screening (DLCS) dataset is a large collection of lung cancer screening low-dose CT scans for lung nodule classification with annotations performed in a semiautomated manner, requiring substantially reduced radiologist effort.

摘要

杜克肺癌筛查(DLCS)数据集是大量肺癌筛查低剂量CT扫描的集合,用于肺结节分类,其标注以半自动方式进行,大大减少了放射科医生的工作量。

相似文献

1
The Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-Dose Screening Thoracic CT.杜克肺癌筛查(DLCS)数据集:带注释的低剂量胸部筛查CT参考数据集。
Radiol Artif Intell. 2025 Jul;7(4):e240248. doi: 10.1148/ryai.240248.
2
Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.基于三维焦域全卷积神经网络的 CT 图像胸部淋巴结自动检测与分割
BMC Med Imaging. 2021 Apr 13;21(1):69. doi: 10.1186/s12880-021-00599-z.
3
Establishing Local Diagnostic Reference Levels and Reference Curves for Thorax and Abdomen-Pelvis Paediatric CT Procedures.建立儿童胸部及腹部-盆腔CT检查的本地诊断参考水平和参考曲线。
Acta Med Litu. 2025;32(1):120-125. doi: 10.15388/Amed.2025.32.1.12. Epub 2025 Feb 18.
4
Low-Dose Chest CT Lung Cancer Screening for School Cafeteria Workers: A Position Paper from the Korean Society of Thoracic Radiology.针对学校食堂工作人员的低剂量胸部CT肺癌筛查:韩国胸放射学会立场文件
J Korean Soc Radiol. 2025 Jul;86(4):524-536. doi: 10.3348/jksr.2024.0048. Epub 2025 Jul 25.
5
A systematic review and lessons learned from early lung cancer detection trials using low-dose computed tomography of the chest.一项关于使用胸部低剂量计算机断层扫描进行早期肺癌检测试验的系统评价及经验教训。
Cancer Control. 2003 Jul-Aug;10(4):306-14. doi: 10.1177/107327480301000405.
6
Screening for lung cancer.肺癌筛查
Cochrane Database Syst Rev. 2013 Jun 21;2013(6):CD001991. doi: 10.1002/14651858.CD001991.pub3.
7
Lung cancer screening with low-dose CT: definition of positive, indeterminate, and negative screen results. A nodule management recommendation from the European Society of Thoracic Imaging.低剂量CT肺癌筛查:阳性、不确定和阴性筛查结果的定义。欧洲胸部影像学会的结节管理建议。
Eur Radiol. 2025 Jul 1. doi: 10.1007/s00330-025-11648-4.
8
Advancing deep learning-based segmentation for multiple lung cancer lesions in real-world multicenter CT scans.推进基于深度学习的真实世界多中心CT扫描中多种肺癌病灶的分割
Eur Radiol Exp. 2025 Aug 18;9(1):78. doi: 10.1186/s41747-025-00617-7.
9
Artificial Intelligence for Low-Dose CT Lung Cancer Screening: Comparison of Utilization Scenarios.用于低剂量CT肺癌筛查的人工智能:应用场景比较
AJR Am J Roentgenol. 2025 Jul;225(1):e2532829. doi: 10.2214/AJR.25.32829. Epub 2025 Apr 16.
10
Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection.虚拟肺癌筛查试验(VLST):一项受国家肺癌筛查试验启发的计算机模拟研究,用于肺癌检测。
Med Image Anal. 2025 Jul;103:103576. doi: 10.1016/j.media.2025.103576. Epub 2025 Apr 5.

引用本文的文献

1
Vision-Language Model-Based Semantic-Guided Imaging Biomarker for Lung Nodule Malignancy Prediction.基于视觉语言模型的语义引导成像生物标志物用于肺结节恶性预测
ArXiv. 2025 Aug 8:arXiv:2504.21344v2.

本文引用的文献

1
Lung Cancer Screening in Clinical Practice: A 5-Year Review of Frequency and Predictors of Lung Cancer in the Screened Population.临床实践中的肺癌筛查:筛查人群中肺癌的频率及预测因素 5 年回顾。
J Am Coll Radiol. 2024 May;21(5):767-777. doi: 10.1016/j.jacr.2023.05.027. Epub 2023 Nov 11.
2
Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis.机器学习在肺癌诊断、治疗和预后中的应用。
Genomics Proteomics Bioinformatics. 2022 Oct;20(5):850-866. doi: 10.1016/j.gpb.2022.11.003. Epub 2022 Dec 1.
3
Lung-RADS Version 1.0 versus Lung-RADS Version 1.1: Comparison of Categories Using Nodules from the National Lung Screening Trial.
肺放射学报告和数据系统(Lung-RADS)版本 1.0 与版本 1.1:基于美国国家肺癌筛查试验中结节数据的类别比较。
Radiology. 2021 Jul;300(1):199-206. doi: 10.1148/radiol.2021203704. Epub 2021 May 4.
4
Radiomics and artificial intelligence in lung cancer screening.肺癌筛查中的放射组学与人工智能
Transl Lung Cancer Res. 2021 Feb;10(2):1186-1199. doi: 10.21037/tlcr-20-708.
5
Lung-RADS Version 1.1: Challenges and a Look Ahead, From the Special Series on Radiology Reporting and Data Systems.肺- RADS 版本 1.1:挑战与展望,来自放射学报告和数据系统特刊。
AJR Am J Roentgenol. 2021 Jun;216(6):1411-1422. doi: 10.2214/AJR.20.24807. Epub 2021 Jan 20.
6
Lung cancer identification: a review on detection and classification.肺癌识别:检测与分类研究综述。
Cancer Metastasis Rev. 2020 Sep;39(3):989-998. doi: 10.1007/s10555-020-09901-x.
7
Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial.随机试验中 CT 容积筛查降低肺癌死亡率
N Engl J Med. 2020 Feb 6;382(6):503-513. doi: 10.1056/NEJMoa1911793. Epub 2020 Jan 29.
8
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.全球癌症统计数据 2018:GLOBOCAN 对全球 185 个国家/地区 36 种癌症的发病率和死亡率的估计。
CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12.
9
DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning.深度病变:基于深度学习的大规模病变标注自动挖掘与通用病变检测
J Med Imaging (Bellingham). 2018 Jul;5(3):036501. doi: 10.1117/1.JMI.5.3.036501. Epub 2018 Jul 20.
10
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.自动检测 CT 图像中肺结节的算法的验证、比较和组合:LUNA16 挑战赛。
Med Image Anal. 2017 Dec;42:1-13. doi: 10.1016/j.media.2017.06.015. Epub 2017 Jul 13.