206 related articles for article (PubMed ID: 32052750)
1. Is there an advantage to using computer aided detection for the early detection of pulmonary nodules within chest X-Ray imaging?
Haber M; Drake A; Nightingale J
Radiography (Lond); 2020 Aug; 26(3):e170-e178. PubMed ID: 32052750
[TBL] [Abstract][Full Text] [Related]
2. Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database.
Jacobs C; van Rikxoort EM; Murphy K; Prokop M; Schaefer-Prokop CM; van Ginneken B
Eur Radiol; 2016 Jul; 26(7):2139-47. PubMed ID: 26443601
[TBL] [Abstract][Full Text] [Related]
3. Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice.
Liang CH; Liu YC; Wu MT; Garcia-Castro F; Alberich-Bayarri A; Wu FZ
Clin Radiol; 2020 Jan; 75(1):38-45. PubMed ID: 31521323
[TBL] [Abstract][Full Text] [Related]
4. Benefit of computer-aided detection analysis for the detection of subsolid and solid lung nodules on thin- and thick-section CT.
Godoy MC; Kim TJ; White CS; Bogoni L; de Groot P; Florin C; Obuchowski N; Babb JS; Salganicoff M; Naidich DP; Anand V; Park S; Vlahos I; Ko JP
AJR Am J Roentgenol; 2013 Jan; 200(1):74-83. PubMed ID: 23255744
[TBL] [Abstract][Full Text] [Related]
5. Computer-Aided Detection of Seven Chest Pathologies on Standard Posteroanterior Chest X-Rays Compared to Radiologists Reading Dual-Energy Subtracted Radiographs.
Fischer G; De Silvestro A; Müller M; Frauenfelder T; Martini K
Acad Radiol; 2022 Aug; 29(8):e139-e148. PubMed ID: 34706849
[TBL] [Abstract][Full Text] [Related]
6. Computer-aided detection (CAD) of solid pulmonary nodules in chest x-ray equivalent ultralow dose chest CT - first in-vivo results at dose levels of 0.13mSv.
Messerli M; Kluckert T; Knitel M; Rengier F; Warschkow R; Alkadhi H; Leschka S; Wildermuth S; Bauer RW
Eur J Radiol; 2016 Dec; 85(12):2217-2224. PubMed ID: 27842670
[TBL] [Abstract][Full Text] [Related]
7. Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population.
Murchison JT; Ritchie G; Senyszak D; Nijwening JH; van Veenendaal G; Wakkie J; van Beek EJR
PLoS One; 2022; 17(5):e0266799. PubMed ID: 35511758
[TBL] [Abstract][Full Text] [Related]
8. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.
Sim Y; Chung MJ; Kotter E; Yune S; Kim M; Do S; Han K; Kim H; Yang S; Lee DJ; Choi BW
Radiology; 2020 Jan; 294(1):199-209. PubMed ID: 31714194
[TBL] [Abstract][Full Text] [Related]
9. New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs.
Schalekamp S; van Ginneken B; Heggelman B; Imhof-Tas M; Somers I; Brink M; Spee M; Schaefer-Prokop C; Karssemeijer N
Br J Radiol; 2014 Apr; 87(1036):20140015. PubMed ID: 24625084
[TBL] [Abstract][Full Text] [Related]
10. Value of a Computer-aided Detection System Based on Chest Tomosynthesis Imaging for the Detection of Pulmonary Nodules.
Yamada Y; Shiomi E; Hashimoto M; Abe T; Matsusako M; Saida Y; Ogawa K
Radiology; 2018 Apr; 287(1):333-339. PubMed ID: 29206596
[TBL] [Abstract][Full Text] [Related]
11. Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.
Kozuka T; Matsukubo Y; Kadoba T; Oda T; Suzuki A; Hyodo T; Im S; Kaida H; Yagyu Y; Tsurusaki M; Matsuki M; Ishii K
Jpn J Radiol; 2020 Nov; 38(11):1052-1061. PubMed ID: 32592003
[TBL] [Abstract][Full Text] [Related]
12. Computer-aided nodule detection system: results in an unselected series of consecutive chest radiographs.
Li F; Engelmann R; Armato SG; MacMahon H
Acad Radiol; 2015 Apr; 22(4):475-80. PubMed ID: 25592026
[TBL] [Abstract][Full Text] [Related]
13. The effect of pulmonary vessel suppression on computerized detection of nodules in chest CT scans.
Gu X; Xie W; Fang Q; Zhao J; Li Q
Med Phys; 2020 Oct; 47(10):4917-4927. PubMed ID: 32681587
[TBL] [Abstract][Full Text] [Related]
14. Observer training for computer-aided detection of pulmonary nodules in chest radiography.
De Boo DW; van Hoorn F; van Schuppen J; Schijf L; Scheerder MJ; Freling NJ; Mets O; Weber M; Schaefer-Prokop CM
Eur Radiol; 2012 Aug; 22(8):1659-64. PubMed ID: 22447377
[TBL] [Abstract][Full Text] [Related]
15. Dual energy subtraction digital radiography improves performance of a next generation computer-aided detection program.
Balkman JD; Mehandru S; DuPont E; Novak RD; Gilkeson RC
J Thorac Imaging; 2010 Feb; 25(1):41-7. PubMed ID: 20160602
[TBL] [Abstract][Full Text] [Related]
16. Integration of Chest CT CAD into the Clinical Workflow and Impact on Radiologist Efficiency.
Brown M; Browning P; Wahi-Anwar MW; Murphy M; Delgado J; Greenspan H; Abtin F; Ghahremani S; Yaghmai N; da Costa I; Becker M; Goldin J
Acad Radiol; 2019 May; 26(5):626-631. PubMed ID: 30097402
[TBL] [Abstract][Full Text] [Related]
17. Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers.
Szucs-Farkas Z; Patak MA; Yuksel-Hatz S; Ruder T; Vock P
Eur Radiol; 2010 Jun; 20(6):1289-96. PubMed ID: 19936752
[TBL] [Abstract][Full Text] [Related]
18. JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function.
Lo SB; Freedman MT; Gillis LB; White CS; Mun SK
AJR Am J Roentgenol; 2018 Mar; 210(3):480-488. PubMed ID: 29336601
[TBL] [Abstract][Full Text] [Related]
19. The GGO lesions detected by computer-aided detection system on chest MDCT images.
Lee JW; Jeong JW; Lee S; Yoo DS; Kim S
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1983-5. PubMed ID: 17945689
[TBL] [Abstract][Full Text] [Related]
20. Quantitative nodule detection in low dose chest CT scans: new template modeling and evaluation for CAD system design.
Farag AA; El-Baz A; Gimelfarb G; El-Ghar MA; Eldiasty T
Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):720-8. PubMed ID: 16685910
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
