Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population
出版年份 2022 全文链接
标题
Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population
作者
关键词
Computed axial tomography, Radiologists, Computer software, Lung and intrathoracic tumors, Cancer screening, Deep learning, Cancer detection and diagnosis, Computer-assisted instruction
出版物
PLoS One
Volume 17, Issue 5, Pages e0266799
出版商
Public Library of Science (PLoS)
发表日期
2022-05-06
DOI
10.1371/journal.pone.0266799
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2021) Hyuna Sung et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial
- (2020) Harry J. de Koning et al. NEW ENGLAND JOURNAL OF MEDICINE
- Computer-Aided Detection of Pulmonary Nodules in Computed Tomography Using ClearReadCT
- (2019) Anne-Kathrin Wagner et al. JOURNAL OF MEDICAL SYSTEMS
- Lung cancer mortality reduction by LDCT screening – results from the randomised German LUSI trial
- (2019) Nikolaus Becker et al. INTERNATIONAL JOURNAL OF CANCER
- European position statement on lung cancer screening
- (2017) Matthijs Oudkerk et al. LANCET ONCOLOGY
- Use of Volumetry for Lung Nodule Management: Theory and Practice
- (2017) Anand Devaraj et al. RADIOLOGY
- Recommendations for Measuring Pulmonary Nodules at CT: A Statement from the Fleischner Society
- (2017) Alexander A. Bankier et al. RADIOLOGY
- Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017
- (2017) Heber MacMahon et al. RADIOLOGY
- Comparing the performance of trained radiographers against experienced radiologists in the UK lung cancer screening (UKLS) trial
- (2016) Arjun Nair et al. BRITISH JOURNAL OF RADIOLOGY
- Computer-aided diagnosis (CAD) of subsolid nodules: Evaluation of a commercial CAD system
- (2016) Joseph Benzakoun et al. EUROPEAN JOURNAL OF RADIOLOGY
- Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database
- (2015) Colin Jacobs et al. EUROPEAN RADIOLOGY
- The British Thoracic Society guidelines on the investigation and management of pulmonary nodules
- (2015) David R Baldwin et al. THORAX
- Performance of ACR Lung-RADS in a Clinical CT Lung Screening Program
- (2015) Brady J. McKee et al. Journal of the American College of Radiology
- Toward clinically usable CAD for lung cancer screening with computed tomography
- (2014) Matthew S. Brown et al. EUROPEAN RADIOLOGY
- Results of Initial Low-Dose Computed Tomographic Screening for Lung Cancer
- (2013) NEW ENGLAND JOURNAL OF MEDICINE
- Comparison of sensitivity of lung nodule detection between radiologists and technologists on low-dose CT lung cancer screening images
- (2012) R Kakinuma et al. BRITISH JOURNAL OF RADIOLOGY
- Recommendations for the Management of Subsolid Pulmonary Nodules Detected at CT: A Statement from the Fleischner Society
- (2012) David P. Naidich et al. RADIOLOGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started