1007 related articles for article (PubMed ID: 29336601)
1. 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]
2. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy.
Hirose T; Nitta N; Shiraishi J; Nagatani Y; Takahashi M; Murata K
Acad Radiol; 2008 Dec; 15(12):1505-12. PubMed ID: 19000867
[TBL] [Abstract][Full Text] [Related]
3. Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy.
Li F; Aoyama M; Shiraishi J; Abe H; Li Q; Suzuki K; Engelmann R; Sone S; Macmahon H; Doi K
AJR Am J Roentgenol; 2004 Nov; 183(5):1209-15. PubMed ID: 15505279
[TBL] [Abstract][Full Text] [Related]
4. Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs.
Schalekamp S; van Ginneken B; Meiss L; Peters-Bax L; Quekel LG; Snoeren MM; Tiehuis AM; Wittenberg R; Karssemeijer N; Schaefer-Prokop CM
Eur J Radiol; 2013 Dec; 82(12):2399-405. PubMed ID: 24113431
[TBL] [Abstract][Full Text] [Related]
5. Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size.
Sahiner B; Chan HP; Hadjiiski LM; Cascade PN; Kazerooni EA; Chughtai AR; Poopat C; Song T; Frank L; Stojanovska J; Attili A
Acad Radiol; 2009 Dec; 16(12):1518-30. PubMed ID: 19896069
[TBL] [Abstract][Full Text] [Related]
6. Computer-aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone-suppressed images.
Schalekamp S; van Ginneken B; Koedam E; Snoeren MM; Tiehuis AM; Wittenberg R; Karssemeijer N; Schaefer-Prokop CM
Radiology; 2014 Jul; 272(1):252-61. PubMed ID: 24635675
[TBL] [Abstract][Full Text] [Related]
7. Neural network-based computer-aided diagnosis in distinguishing malignant from benign solitary pulmonary nodules by computed tomography.
Chen H; Wang XH; Ma DQ; Ma BR
Chin Med J (Engl); 2007 Jul; 120(14):1211-5. PubMed ID: 17697569
[TBL] [Abstract][Full Text] [Related]
8. Incorporation of a computer-aided vessel-suppression system to detect lung nodules in CT images: effect on sensitivity and reading time in routine clinical settings.
Takaishi T; Ozawa Y; Bando Y; Yamamoto A; Okochi S; Suzuki H; Shibamoto Y
Jpn J Radiol; 2021 Feb; 39(2):159-164. PubMed ID: 32940850
[TBL] [Abstract][Full Text] [Related]
9. Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performance.
Shiraishi J; Abe H; Li F; Engelmann R; MacMahon H; Doi K
Acad Radiol; 2006 Aug; 13(8):995-1003. PubMed ID: 16843852
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided diagnosis of lung nodules on CT scans: ROC study of its effect on radiologists' performance.
Way T; Chan HP; Hadjiiski L; Sahiner B; Chughtai A; Song TK; Poopat C; Stojanovska J; Frank L; Attili A; Bogot N; Cascade PN; Kazerooni EA
Acad Radiol; 2010 Mar; 17(3):323-32. PubMed ID: 20152726
[TBL] [Abstract][Full Text] [Related]
11. Lung nodules: improved detection with software that suppresses the rib and clavicle on chest radiographs.
Freedman MT; Lo SC; Seibel JC; Bromley CM
Radiology; 2011 Jul; 260(1):265-73. PubMed ID: 21493789
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. 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]
16. 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]
17. Fast and adaptive detection of pulmonary nodules in thoracic CT images using a hierarchical vector quantization scheme.
Han H; Li L; Han F; Song B; Moore W; Liang Z
IEEE J Biomed Health Inform; 2015 Mar; 19(2):648-59. PubMed ID: 25486657
[TBL] [Abstract][Full Text] [Related]
18. Computerized detection of lung nodules by means of "virtual dual-energy" radiography.
Chen S; Suzuki K
IEEE Trans Biomed Eng; 2013 Feb; 60(2):369-78. PubMed ID: 23193306
[TBL] [Abstract][Full Text] [Related]
19. Integrating PET and CT information to improve diagnostic accuracy for lung nodules: A semiautomatic computer-aided method.
Nie Y; Li Q; Li F; Pu Y; Appelbaum D; Doi K
J Nucl Med; 2006 Jul; 47(7):1075-80. PubMed ID: 16818939
[TBL] [Abstract][Full Text] [Related]
20. Solid, part-solid, or non-solid?: classification of pulmonary nodules in low-dose chest computed tomography by a computer-aided diagnosis system.
Jacobs C; van Rikxoort EM; Scholten ET; de Jong PA; Prokop M; Schaefer-Prokop C; van Ginneken B
Invest Radiol; 2015 Mar; 50(3):168-73. PubMed ID: 25478740
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
