• 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
Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations.光学技术、计算机断层扫描和深度学习在 COVID-19 大流行诊断中的作用,旨在提高弱势群体的生存率。
Photodiagnosis Photodyn Ther. 2020 Sep;31:101880. doi: 10.1016/j.pdpdt.2020.101880. Epub 2020 Jun 17.
2
Optical theranostics and treatment dosimetry for COVID-19 lung complications: Towards increasing the survival rate of vulnerable populations.光学治疗和治疗剂量学在 COVID-19 肺部并发症中的应用:提高脆弱人群的存活率。
Photodiagnosis Photodyn Ther. 2020 Sep;31:101892. doi: 10.1016/j.pdpdt.2020.101892. Epub 2020 Jun 22.
3
COVID-19 pneumonia in a Turkish child presenting with abdominal complaints and reversed halo sign on thorax CT.一名出现腹部不适且胸部CT有反晕征的土耳其儿童的新型冠状病毒肺炎
Diagn Interv Radiol. 2020 Nov;26(6):608-609. doi: 10.5152/dir.2020.20361.
4
COVID-19: A case series to support radiographer preliminary clinical evaluation.新型冠状病毒肺炎:支持放射技师初步临床评估的病例系列
Radiography (Lond). 2020 Aug;26(3):e186-e188. doi: 10.1016/j.radi.2020.04.002. Epub 2020 Apr 11.
5
COVID-19 diagnosis through image.通过图像进行COVID-19诊断。
Med Clin (Barc). 2020 Aug 14;155(3):140. doi: 10.1016/j.medcli.2020.04.006. Epub 2020 Apr 30.
6
MinIP technique may be helpful in diagnosing COVID-19.最小强度投影(MinIP)技术可能有助于诊断新型冠状病毒肺炎(COVID-19)。
Diagn Interv Radiol. 2020 Nov;26(6):604-605. doi: 10.5152/dir.2019.20295.
7
Combination of CT and RT-PCR in the screening or diagnosis of COVID-19.CT与RT-PCR联合用于新型冠状病毒肺炎的筛查或诊断
J Glob Health. 2020 Jun;10(1):010347. doi: 10.7189/jogh.10.010347.
8
Radiological findings for diagnosis of SARS-CoV-2 pneumonia (COVID-19).用于诊断严重急性呼吸综合征冠状病毒2型肺炎(COVID-19)的影像学检查结果。
Med Clin (Barc). 2020 Jul 10;155(1):36-40. doi: 10.1016/j.medcli.2020.03.004. Epub 2020 Apr 3.
9
COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.COVID19XrayNet:一种基于少量胸部 X 光图像的 COVID-19 检测问题的两步迁移学习模型。
Interdiscip Sci. 2020 Dec;12(4):555-565. doi: 10.1007/s12539-020-00393-5. Epub 2020 Sep 21.
10
Is computed tomography really the future of biology for diagnosing COVID-19 infection?计算机断层扫描真的是用于诊断新冠病毒感染的生物学未来吗?
Clin Med (Lond). 2020 Jul;20(4):e135. doi: 10.7861/clinmed.Let.20.4.8.

引用本文的文献

1
Recent Development of Fluorescent Nanodiamonds for Optical Biosensing and Disease Diagnosis.荧光纳米金刚石在光学生物传感和疾病诊断中的最新进展。
Biosensors (Basel). 2022 Dec 19;12(12):1181. doi: 10.3390/bios12121181.
2
Impact of COVID-19 on G20 countries: analysis of economic recession using data mining approaches.新冠疫情对二十国集团国家的影响:运用数据挖掘方法分析经济衰退情况
Financ Innov. 2022;8(1):81. doi: 10.1186/s40854-022-00385-y. Epub 2022 Sep 5.
3
Simulated Annealing-Based Image Reconstruction for Patients With COVID-19 as a Model for Ultralow-Dose Computed Tomography.基于模拟退火的新冠肺炎患者图像重建作为超低剂量计算机断层扫描的模型
Front Physiol. 2022 Jan 14;12:737233. doi: 10.3389/fphys.2021.737233. eCollection 2021.
4
Ultraviolet irradiation as a disinfection protocol during COVID-19 outbreak for dental practices.在新冠疫情期间,紫外线照射作为牙科诊所的一种消毒方案。
Photodiagnosis Photodyn Ther. 2020 Dec;32:102079. doi: 10.1016/j.pdpdt.2020.102079. Epub 2020 Nov 4.
5
The role of primary and secondary bio-molecules in optical diagnosis of pandemic COVID-19 outbreak.一级和二级生物分子在新冠大流行疫情光学诊断中的作用。
Photodiagnosis Photodyn Ther. 2020 Sep;31:101953. doi: 10.1016/j.pdpdt.2020.101953. Epub 2020 Aug 17.

本文引用的文献

1
RETRACTED ARTICLE: Deep learning system to screen coronavirus disease 2019 pneumonia.撤稿文章:用于筛查2019冠状病毒病肺炎的深度学习系统。
Appl Intell (Dordr). 2023;53(4):4874. doi: 10.1007/s10489-020-01714-3. Epub 2020 Apr 22.
2
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19).利用 CT 图像进行冠状病毒病(COVID-19)筛查的深度学习算法。
Eur Radiol. 2021 Aug;31(8):6096-6104. doi: 10.1007/s00330-021-07715-1. Epub 2021 Feb 24.
3
Biophotonic telemedicine for disease diagnosis and monitoring during pandemics: Overcoming COVID-19 and shaping the future of healthcare.用于大流行期间疾病诊断和监测的生物光子远程医疗:克服 COVID-19 并塑造医疗保健的未来。
Photodiagnosis Photodyn Ther. 2020 Sep;31:101836. doi: 10.1016/j.pdpdt.2020.101836. Epub 2020 May 27.
4
Biophotonics for pandemic control: Large-area infection monitoring and microbial inactivation of COVID-19.用于大流行控制的生物光子学:新冠病毒的大面积感染监测与微生物灭活
Photodiagnosis Photodyn Ther. 2020 Sep;31:101823. doi: 10.1016/j.pdpdt.2020.101823. Epub 2020 May 20.
5
Spectroscopy as a tool for detection and monitoring of Coronavirus (COVID-19).光谱学作为检测和监测冠状病毒(COVID-19)的工具。
Expert Rev Mol Diagn. 2020 Jul;20(7):647-649. doi: 10.1080/14737159.2020.1766968. Epub 2020 May 20.
6
A Clinical Study of Noninvasive Assessment of Lung Lesions in Patients with Coronavirus Disease-19 (COVID-19) by Bedside Ultrasound.床边超声对新型冠状病毒肺炎(COVID-19)患者肺部病变的临床研究
Ultraschall Med. 2020 Jun;41(3):300-307. doi: 10.1055/a-1154-8795. Epub 2020 Apr 15.
7
Cytokine release syndrome in severe COVID-19: interleukin-6 receptor antagonist tocilizumab may be the key to reduce mortality.严重 COVID-19 中的细胞因子释放综合征:白细胞介素-6 受体拮抗剂托珠单抗可能是降低死亡率的关键。
Int J Antimicrob Agents. 2020 May;55(5):105954. doi: 10.1016/j.ijantimicag.2020.105954. Epub 2020 Mar 29.
8
Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review.新型冠状病毒病 2019(COVID-19)的胸部 CT 表现:影像学综述。
Eur Radiol. 2020 Aug;30(8):4381-4389. doi: 10.1007/s00330-020-06801-0. Epub 2020 Mar 19.
9
Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.基于肺部 CT 的人工智能检测 COVID-19 和社区获得性肺炎:诊断准确性评估。
Radiology. 2020 Aug;296(2):E65-E71. doi: 10.1148/radiol.2020200905. Epub 2020 Mar 19.
10
Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management.新型冠状病毒病 2019(COVID-19):胸部 CT 在诊断和管理中的作用。
AJR Am J Roentgenol. 2020 Jun;214(6):1280-1286. doi: 10.2214/AJR.20.22954. Epub 2020 Mar 4.

光学技术、计算机断层扫描和深度学习在 COVID-19 大流行诊断中的作用,旨在提高弱势群体的生存率。

Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations.

机构信息

Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, 45650, Pakistan.

Agri & Biophotonics Division, National Institute of Lasers and Optronics College, Pakistan Institute of Engineering and Applied Sciences (PIEAS), 45650, Islamabad, Pakistan.

出版信息

Photodiagnosis Photodyn Ther. 2020 Sep;31:101880. doi: 10.1016/j.pdpdt.2020.101880. Epub 2020 Jun 17.

DOI:10.1016/j.pdpdt.2020.101880
PMID:32562732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7834065/
Abstract

• Severe lung complications can be explored using computed tomography during COVID-19 pandemic. • Ultra-low dose CT can enhance COVID-19 infected patients diagnostic capability. • Optically monitored CT along with deep learning is the best solution for diagnosis of COVID-19 during pandemic. • CT scans sensitivity (88 %) is preferable on clinical approach sensitivity (59 %) for COVID-19 suspected patients. • CT and Computer aided approaches helps the radiologist to make fast and accurate diagnosis during COVID-19 pandemic.

摘要

• 在 COVID-19 大流行期间,可以使用计算机断层扫描来探索严重的肺部并发症。

• 超低剂量 CT 可以提高 COVID-19 感染患者的诊断能力。

• 光学监测 CT 结合深度学习是大流行期间 COVID-19 诊断的最佳解决方案。

• 对于 COVID-19 疑似患者,CT 扫描的敏感性(88%)优于临床方法的敏感性(59%)。

• CT 和计算机辅助方法有助于放射科医生在 COVID-19 大流行期间快速准确地做出诊断。