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.
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.
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.
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.
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.
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.
Cancer Control. 2003 Jul-Aug;10(4):306-14. doi: 10.1177/107327480301000405.
6
Screening for lung cancer.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Med Image Anal. 2017 Dec;42:1-13. doi: 10.1016/j.media.2017.06.015. Epub 2017 Jul 13.
Zotero 插件