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。Focal Loss for Dense Object Detection
Tsung-Yi Lin et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management
Sarah J. van Riel et al.
EUROPEAN RADIOLOGY (2019)
Effects of Volume CT Lung Cancer Screening: Mortality Results of the NELSON Randomised-Controlled Population Based Trial
H. De Koning et al.
JOURNAL OF THORACIC ONCOLOGY (2018)
Space Charge Analysis of Polyethylene with Chemical Defects Based on Density Function Theory
Tao Lin et al.
2018 IEEE INTERNATIONAL CONFERENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION (ICHVE) (2018)
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Arnaud Arindra Adiyoso Setio et al.
MEDICAL IMAGE ANALYSIS (2017)
Lung-RADS: Pushing the Limits
Maria D. Martin et al.
RADIOGRAPHICS (2017)
Lung Cancer Screening With Low-Dose Computed Tomography in the United States-2010 to 2015
Ahmedin Jemal et al.
JAMA ONCOLOGY (2017)
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
Francesco Ciompi et al.
SCIENTIFIC REPORTS (2017)
The American College of Radiology Lung Imaging Reporting and Data System Potential Drawbacks and Need for Revision
Hiren J. Mehta et al.
CHEST (2017)
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Mask R-CNN
Kaiming He et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Joao Carreira et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening
J. K. Field et al.
THORAX (2016)
Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy
Macedo Firmino et al.
BIOMEDICAL ENGINEERING ONLINE (2016)
Automatic 3D pulmonary nodule detection in CT images: A survey
Igor Rafael S. Valente et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
Performance of Lung-RADS in the National Lung Screening Trial A Retrospective Assessment
Paul F. Pinsky et al.
ANNALS OF INTERNAL MEDICINE (2015)
Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial
Mathilde M. Winkler Wille et al.
EUROPEAN RADIOLOGY (2015)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Cost-effectiveness of Lung Cancer Screening in Canada
John R. Goffin et al.
JAMA ONCOLOGY (2015)
The Lung Reporting and Data System (LU-RADS): A Proposal for Computed Tomography Screening
Dania Manos et al.
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES (2014)
ACR-STR Practice Parameter for the Performance and Reporting of Lung Cancer Screening Thoracic Computed Tomography (CT)
Ella A. Kazerooni et al.
JOURNAL OF THORACIC IMAGING (2014)
Cost-Effectiveness of CT Screening in the National Lung Screening Trial
William C. Black et al.
NEW ENGLAND JOURNAL OF MEDICINE (2014)
National Lung Screening Trial: Variability in Nodule Detection Rates in Chest CT Studies
Paul F. Pinsky et al.
RADIOLOGY (2013)
Impact of a Computer-Aided Detection (CAD) System Integrated into a Picture Archiving and Communication System (PACS) on Reader Sensitivity and Efficiency for the Detection of Lung Nodules in Thoracic CT Exams
Luca Bogoni et al.
JOURNAL OF DIGITAL IMAGING (2012)
Population-Based Risk for Complications After Transthoracic Needle Lung Biopsy of a Pulmonary Nodule: An Analysis of Discharge Records
Renda Soylemez Wiener et al.
ANNALS OF INTERNAL MEDICINE (2011)
Cost-Effectiveness of Computed Tomography Screening for Lung Cancer in the United States
Pamela M. McMahon et al.
JOURNAL OF THORACIC ONCOLOGY (2011)
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
Denise R. Aberle et al.
NEW ENGLAND JOURNAL OF MEDICINE (2011)
Evaluation of Reader Variability in the Interpretation of Follow-up CT Scans at Lung Cancer Screening
Satinder Singh et al.
RADIOLOGY (2011)
Effect of CAD on Radiologists' Detection of Lung Nodules on Thoracic CT Scans: Analysis of an Observer Performance Study by Nodule Size
Berkman Sahiner et al.
ACADEMIC RADIOLOGY (2009)
Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images
Xujiong Ye et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2009)
Performance evaluation of a computer-aided detection algorithm for solid pulmonary nodules in low-dose and standard-dose MDCT chest examinations and its influence on radiologists
M. Das et al.
BRITISH JOURNAL OF RADIOLOGY (2008)
A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model
R. Bellotti et al.
MEDICAL PHYSICS (2007)
The Lung Image Database Consortium (LIDC): An evaluation of radiologist variability in the identification of lung nodules on CT scans
Samuel G. Armato et al.
ACADEMIC RADIOLOGY (2007)
CT-guided needle biopsy of lung lesions: A survey of severe complication based on 9783 biopsies in Japan
Noriyuki Tomiyama et al.
EUROPEAN JOURNAL OF RADIOLOGY (2006)
Use of prior mammograms in the classification of benign and malignant masses
C Varela et al.
EUROPEAN JOURNAL OF RADIOLOGY (2005)
Lung cancer: Performance of automated lung nodule detection applied to cancers missed in a CT screening program
SG Armato et al.
RADIOLOGY (2002)