• 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

相似文献

1
Quantitative Chest CT in COPD: Can Deep Learning Enable the Transition?慢性阻塞性肺疾病的定量胸部CT：深度学习能否促成转变？
Radiol Cardiothorac Imaging. 2021 Apr 8;3(2):e210044. doi: 10.1148/ryct.2021210044. eCollection 2021 Apr.
2
Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.基于 CT 的弱监督深度学习方法在慢性阻塞性肺疾病检测和分期中的应用。
Eur Radiol. 2022 Aug;32(8):5319-5329. doi: 10.1007/s00330-022-08632-7. Epub 2022 Feb 24.
3
Comparison of deep-learning and radiomics-based machine-learning methods for the identification of chronic obstructive pulmonary disease on low-dose computed tomography images.基于深度学习和放射组学的机器学习方法在低剂量计算机断层扫描图像上识别慢性阻塞性肺疾病的比较。
Quant Imaging Med Surg. 2024 Mar 15;14(3):2485-2498. doi: 10.21037/qims-23-1307. Epub 2024 Mar 5.
4
Automated quantification of airway wall thickness on chest CT using retina U-Nets - Performance evaluation and application to a large cohort of chest CTs of COPD patients.使用视网膜U-Net自动定量胸部CT上的气道壁厚度——性能评估及其在一大群慢性阻塞性肺疾病（COPD）患者胸部CT中的应用
Eur J Radiol. 2022 Oct;155:110460. doi: 10.1016/j.ejrad.2022.110460. Epub 2022 Aug 3.
5
Kernel Conversion for Robust Quantitative Measurements of Archived Chest Computed Tomography Using Deep Learning-Based Image-to-Image Translation.基于深度学习的图像到图像转换的存档胸部计算机断层扫描稳健定量测量的内核转换
Front Artif Intell. 2022 Jan 17;4:769557. doi: 10.3389/frai.2021.769557. eCollection 2021.
6
Pulmonary emphysema quantification at low dose chest CT using Deep Learning image reconstruction.低剂量胸部 CT 应用深度学习图像重建对肺气肿进行定量分析。
Eur J Radiol. 2022 Jul;152:110338. doi: 10.1016/j.ejrad.2022.110338. Epub 2022 May 5.
7
Automatic coronary artery calcium scoring on routine chest computed tomography (CT): comparison of a deep learning algorithm and a dedicated calcium scoring CT.常规胸部计算机断层扫描（CT）上的自动冠状动脉钙化评分：深度学习算法与专用钙化评分CT的比较。
Quant Imaging Med Surg. 2022 May;12(5):2684-2695. doi: 10.21037/qims-21-1017.
8
CT-based COPD identification using multiple instance learning with two-stage attention.基于 CT 的 COPD 识别方法，采用两阶段注意力的多实例学习。
Comput Methods Programs Biomed. 2023 Mar;230:107356. doi: 10.1016/j.cmpb.2023.107356. Epub 2023 Jan 16.
9
Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction.深度学习重建在上腹部增强 CT 中的应用：与迭代重建直接比较，辐射剂量更低，图像质量相似。
Eur Radiol. 2021 Aug;31(8):5533-5543. doi: 10.1007/s00330-021-07712-4. Epub 2021 Feb 8.
10
A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19).一种新型基于深度学习的 2019 年冠状病毒病（COVID-19）连续胸部计算机断层扫描定量分析方法。
Sci Rep. 2021 Jan 11;11(1):417. doi: 10.1038/s41598-020-80261-w.

引用本文的文献

1
A Preliminary Study on the Relationship Between High-Resolution Computed Tomography and Pulmonary Function in People at Risk of Developing Chronic Obstructive Pulmonary Disease.慢性阻塞性肺疾病高危人群高分辨率计算机断层扫描与肺功能关系的初步研究
Front Med (Lausanne). 2022 May 4;9:855640. doi: 10.3389/fmed.2022.855640. eCollection 2022.
2
Diagnostic efficacy of visual subtypes and low attenuation area based on HRCT in the diagnosis of COPD.基于高分辨率 CT 的视觉亚型和低衰减区对 COPD 的诊断效能。
BMC Pulm Med. 2022 Mar 6;22(1):81. doi: 10.1186/s12890-022-01875-6.

本文引用的文献

1
Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network.利用深度学习卷积神经网络对慢性阻塞性肺疾病严重程度进行自动CT分期以预测疾病进展和死亡率
Radiol Cardiothorac Imaging. 2021 Apr 8;3(2):e200477. doi: 10.1148/ryct.2021200477. eCollection 2021 Apr.
2
Biomarkers in Chronic Obstructive Pulmonary Disease: The Gateway to Precision Medicine.慢性阻塞性肺疾病的生物标志物：迈向精准医学的大门。
Clin Chest Med. 2020 Sep;41(3):383-394. doi: 10.1016/j.ccm.2020.06.001.
3
Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers.基于人工智能的全叶段自动化分割和基于胸部 CT 的肺气肿定量与全球慢性阻塞性肺疾病倡议吸烟人群严重程度的比较。
J Thorac Imaging. 2020 May;35 Suppl 1:S28-S34. doi: 10.1097/RTI.0000000000000500.
4
Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing.基于人工智能的全自动 CT 肺气肿定量与肺功能测试的比较。
AJR Am J Roentgenol. 2020 May;214(5):1065-1071. doi: 10.2214/AJR.19.21572. Epub 2020 Mar 4.
5
Deep Learning Enables Automatic Classification of Emphysema Pattern at CT.深度学习可实现 CT 肺气肿模式的自动分类。
Radiology. 2020 Feb;294(2):434-444. doi: 10.1148/radiol.2019191022. Epub 2019 Dec 3.
6
High-Resolution Chest Computed Tomography Imaging of the Lungs: Impact of 1024 Matrix Reconstruction and Photon-Counting Detector Computed Tomography.肺部高分辨率胸部计算机断层成像：1024 矩阵重建和光子计数探测器计算机断层成像的影响。
Invest Radiol. 2019 Mar;54(3):129-137. doi: 10.1097/RLI.0000000000000524.
7
COPD Guidelines: A Review of the 2018 GOLD Report.COPD 指南：2018 GOLD 报告综述。
Mayo Clin Proc. 2018 Oct;93(10):1488-1502. doi: 10.1016/j.mayocp.2018.05.026.
8
Screening for Chronic Obstructive Pulmonary Disease: Evidence Report and Systematic Review for the US Preventive Services Task Force.慢性阻塞性肺疾病筛查：美国预防服务工作组的证据报告和系统评价。
JAMA. 2016 Apr 5;315(13):1378-93. doi: 10.1001/jama.2016.2654.

Quantitative Chest CT in COPD: Can Deep Learning Enable the Transition?

作者信息

Kalra Mannudeep K, Ebrahimian Shadi

机构信息

Division of Thoracic Imaging, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Ct, Boston, MA 02114.

出版信息

Radiol Cardiothorac Imaging. 2021 Apr 8;3(2):e210044. doi: 10.1148/ryct.2021210044. eCollection 2021 Apr.

DOI:10.1148/ryct.2021210044
PMID:33970150
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8098084/
Abstract
摘要