260 related articles for article (PubMed ID: 24824377)
1. [Pulmonary nodules].
Herold C; Prosch H; Schaefer-Prokop C
Radiologe; 2014 May; 54(5):425-6. PubMed ID: 24824377
[No Abstract] [Full Text] [Related]
2. 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]
3. Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping.
Gordic S; Morsbach F; Schmidt B; Allmendinger T; Flohr T; Husarik D; Baumueller S; Raupach R; Stolzmann P; Leschka S; Frauenfelder T; Alkadhi H
Invest Radiol; 2014 Jul; 49(7):465-73. PubMed ID: 24598443
[TBL] [Abstract][Full Text] [Related]
4. Three-dimensional volumetric assessment with thoracic CT: a reliable approach for noncalcified lung nodules?
Mazzei MA; Scialpi M; Mazzei FG; Giacobone G; Volterrani L
Radiology; 2010 Feb; 254(2):634; author reply 635. PubMed ID: 20093537
[No Abstract] [Full Text] [Related]
5. [Diagnostic work-up of pulmonary nodules : Management of pulmonary nodules detected with low‑dose CT screening].
Wormanns D
Radiologe; 2016 Sep; 56(9):803-9. PubMed ID: 27495787
[TBL] [Abstract][Full Text] [Related]
6. Improvement in detection of pulmonary nodules: digital image processing and computer-aided diagnosis.
MacMahon H
Radiographics; 2000; 20(4):1169-77. PubMed ID: 10903706
[No Abstract] [Full Text] [Related]
7. Low-dose computed tomography lung cancer screening.
Furlow B
Radiol Technol; 2014; 85(3):297CT-314CT; quiz 315CT-318CT. PubMed ID: 24395909
[TBL] [Abstract][Full Text] [Related]
8. [Management of subsolid pulmonary nodules].
Eisenhuber E; Mostbeck G; Prosch H; Schaefer-Prokop C
Radiologe; 2014 May; 54(5):427-35. PubMed ID: 24789047
[TBL] [Abstract][Full Text] [Related]
9. A retrospective study of chest tomosynthesis as a tool for optimizing the use of computed tomography resources and reducing patient radiation exposure.
Johnsson ÅA; Vikgren J; Båth M
Acad Radiol; 2014 Nov; 21(11):1427-33. PubMed ID: 25097012
[TBL] [Abstract][Full Text] [Related]
10. Multidetector CT of solitary pulmonary nodules.
Truong MT; Sabloff BS; Ko JP
Radiol Clin North Am; 2010 Jan; 48(1):141-55. PubMed ID: 19995633
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Gray-scale inversion radiographic display for the detection of pulmonary nodules on chest radiographs.
Lungren MP; Samei E; Barnhart H; McAdams HP; Leder RA; Christensen JD; Wylie JD; Tan JW; Li X; Hurwitz LM
Clin Imaging; 2012; 36(5):515-21. PubMed ID: 22920355
[TBL] [Abstract][Full Text] [Related]
13. Role of the Quantitative Imaging Biomarker Alliance in optimizing CT for the evaluation of lung cancer screen-detected nodules.
Mulshine JL; Gierada DS; Armato SG; Avila RS; Yankelevitz DF; Kazerooni EA; McNitt-Gray MF; Buckler AJ; Sullivan DC
J Am Coll Radiol; 2015 Apr; 12(4):390-5. PubMed ID: 25842017
[TBL] [Abstract][Full Text] [Related]
14. A novel approach to nodule feature optimization on thin section thoracic CT.
Samala R; Moreno W; You Y; Qian W
Acad Radiol; 2009 Apr; 16(4):418-27. PubMed ID: 19268853
[TBL] [Abstract][Full Text] [Related]
15. Influence of radiation dose and iterative reconstruction algorithms for measurement accuracy and reproducibility of pulmonary nodule volumetry: A phantom study.
Kim H; Park CM; Song YS; Lee SM; Goo JM
Eur J Radiol; 2014 May; 83(5):848-57. PubMed ID: 24572380
[TBL] [Abstract][Full Text] [Related]
16. Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network.
Suzuki K; Li F; Sone S; Doi K
IEEE Trans Med Imaging; 2005 Sep; 24(9):1138-50. PubMed ID: 16156352
[TBL] [Abstract][Full Text] [Related]
17. Lung nodule detection in a high-risk population: comparison of magnetic resonance imaging and low-dose computed tomography.
Sommer G; Tremper J; Koenigkam-Santos M; Delorme S; Becker N; Biederer J; Kauczor HU; Heussel CP; Schlemmer HP; Puderbach M
Eur J Radiol; 2014 Mar; 83(3):600-5. PubMed ID: 24364923
[TBL] [Abstract][Full Text] [Related]
18. Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.
Messay T; Hardie RC; Tuinstra TR
Med Image Anal; 2015 May; 22(1):48-62. PubMed ID: 25791434
[TBL] [Abstract][Full Text] [Related]
19. A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification.
Murphy K; van Ginneken B; Schilham AM; de Hoop BJ; Gietema HA; Prokop M
Med Image Anal; 2009 Oct; 13(5):757-70. PubMed ID: 19646913
[TBL] [Abstract][Full Text] [Related]
20. Functional CT: lung nodule evaluation.
Swensen SJ
Radiographics; 2000; 20(4):1178-81. PubMed ID: 10903707
[No Abstract] [Full Text] [Related]
[Next] [New Search]
