scholarly journals New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs

2014 ◽  
Vol 87 (1036) ◽  
pp. 20140015 ◽  
Author(s):  
S Schalekamp ◽  
B van Ginneken ◽  
BGF Heggelman ◽  
M Imhof-Tas ◽  
I Somers ◽  
...  
Keyword(s):  
Chest Radiographs ◽  
Lung Nodules ◽  
Computer Aided Detection ◽  
New Methods ◽  
Computer Aided

scholarly journals Sensitivity of Computer-Aided Detection (CAD) Device for Lung Nodule Detection on Chest Radiography: A Real-Life Application

2020 ◽  
pp. 1-5
Author(s):  
Ammar Chaudhry ◽  
Ammar Chaudhry ◽  
William H. Moore
Keyword(s):  
Sensitivity And Specificity ◽  
Chest Radiography ◽  
Predictive Value ◽  
Lung Nodule ◽  
Chest Radiographs ◽  
Lung Nodules ◽  
Computer Aided Detection ◽  
Cad System ◽  
Computer Aided ◽  
The Mean

Purpose: The radiographic diagnosis of lung nodules is associated with low sensitivity and specificity. Computer-aided detection (CAD) system has been shown to have higher accuracy in the detection of lung nodules. The purpose of this study is to assess the effect on sensitivity and specificity when a CAD system is used to review chest radiographs in real-time setting. Methods: Sixty-three patients, including 24 controls, who had chest radiographs and CT within three months were included in this study. Three radiologists were presented chest radiographs without CAD and were asked to mark all lung nodules. Then the radiologists were allowed to see the CAD region-of-interest (ROI) marks and were asked to agree or disagree with the marks. All marks were correlated with CT studies. Results: The mean sensitivity of the three radiologists without CAD was 16.1%, which showed a statistically significant improvement to 22.5% with CAD. The mean specificity of the three radiologists was 52.5% without CAD and decreased to 48.1% with CAD. There was no significant change in the positive predictive value or negative predictive value. Conclusion: The addition of a CAD system to chest radiography interpretation statistically improves the detection of lung nodules without affecting its specificity. Thus suggesting CAD would improve overall detection of lung nodules.

Computer-aided detection (CAD) of lung nodules and small tumours on chest radiographs

2009 ◽  
Vol 72 (2) ◽  
pp. 218-225 ◽  
Author(s):  
D.W. De Boo ◽  
M. Prokop ◽  
M. Uffmann ◽  
B. van Ginneken ◽  
C.M. Schaefer-Prokop
Keyword(s):  
Chest Radiographs ◽  
Lung Nodules ◽  
Computer Aided Detection ◽  
Computer Aided

scholarly journals Computer-Aided Detection of Malignant Lung Nodules on Chest Radiographs: Effect on Observers' Performance

2012 ◽  
Vol 13 (5) ◽  
pp. 564 ◽  
Author(s):  
Kyung Hee Lee ◽  
Jin Mo Goo ◽  
Chang Min Park ◽  
Hyun Ju Lee ◽  
Kwang Nam Jin
Keyword(s):  
Chest Radiographs ◽  
Lung Nodules ◽  
Computer Aided Detection ◽  
Computer Aided

scholarly journals Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images

2009 ◽  
Vol 56 (7) ◽  
pp. 1810-1820 ◽  
Author(s):  
Xujiong Ye ◽  
Xinyu Lin ◽  
J. Dehmeshki ◽  
G. Slabaugh ◽  
G. Beddoe
Keyword(s):  
Ct Images ◽  
Lung Nodules ◽  
Computer Aided Detection ◽  
Thoracic Ct ◽  
Computer Aided

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

2020 ◽  
Vol 30 (9) ◽  
pp. 4943-4951
Author(s):  
Young-Gon Kim ◽  
Sang Min Lee ◽  
Kyung Hee Lee ◽  
Ryoungwoo Jang ◽  
Joon Beom Seo ◽  
...  
Keyword(s):  
Deep Learning ◽  
Lung Nodule ◽  
Chest Radiographs ◽  
Computer Aided Detection ◽  
Matrix Size ◽  
Computer Aided

Computer-aided detection of lung nodules by SVM based on 3D matrix patterns

2013 ◽  
Vol 37 (1) ◽  
pp. 62-69 ◽  
Author(s):  
Qingzhu Wang ◽  
Wenwei Kang ◽  
Chunming Wu ◽  
Bin Wang
Keyword(s):  
Lung Nodules ◽  
Computer Aided Detection ◽  
Computer Aided ◽  
3D Matrix

scholarly journals Computer-aided Detection of Lung Cancer on Chest Radiographs: Effect on Observer Performance

Radiology ◽  
2010 ◽  
Vol 257 (2) ◽  
pp. 532-540 ◽  
Author(s):  
Bartjan de Hoop ◽  
Diederik W. De Boo ◽  
Hester A. Gietema ◽  
Frans van Hoorn ◽  
Banafsche Mearadji ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Chest Radiographs ◽  
Observer Performance ◽  
Computer Aided Detection ◽  
Computer Aided
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