205 related articles for article (PubMed ID: 17633695)
1. Lung nodule detection via Bayesian voxel labeling.
Mendonça PR; Bhotika R; Zhao F; Miller JV
Inf Process Med Imaging; 2007; 20():134-46. PubMed ID: 17633695
[TBL] [Abstract][Full Text] [Related]
2. Model-based analysis of local shape for lesion detection in CT scans.
Mendonça PR; Bhotika R; Sirohey SA; Turner WD; Miller JV; Avila RS
Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):688-95. PubMed ID: 16685906
[TBL] [Abstract][Full Text] [Related]
3. Robust anisotropic Gaussian fitting for volumetric characterization of pulmonary nodules in multislice CT.
Okada K; Comaniciu D; Krishnan A
IEEE Trans Med Imaging; 2005 Mar; 24(3):409-23. PubMed ID: 15754991
[TBL] [Abstract][Full Text] [Related]
4. Appearance models for robust segmentation of pulmonary nodules in 3D LDCT chest images.
Farag AA; El-Baz A; Gimel'farb G; Falk R; El-Ghar MA; Eldiasty T; Elshazly S
Med Image Comput Comput Assist Interv; 2006; 9(Pt 1):662-70. PubMed ID: 17354947
[TBL] [Abstract][Full Text] [Related]
5. On measuring the change in size of pulmonary nodules.
Reeves AP; Chan AB; Yankelevitz DF; Henschke CI; Kressler B; Kostis WJ
IEEE Trans Med Imaging; 2006 Apr; 25(4):435-50. PubMed ID: 16608059
[TBL] [Abstract][Full Text] [Related]
6. A novel lung nodules detection scheme based on vessel segmentation on CT images.
Jia T; Zhang H; Meng H
Biomed Mater Eng; 2014; 24(6):3179-86. PubMed ID: 25227026
[TBL] [Abstract][Full Text] [Related]
7. Pulmonary nodule detection in CT images with quantized convergence index filter.
Matsumoto S; Kundel HL; Gee JC; Gefter WB; Hatabu H
Med Image Anal; 2006 Jun; 10(3):343-52. PubMed ID: 16542867
[TBL] [Abstract][Full Text] [Related]
8. Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology.
Petrou M; Quint LE; Nan B; Baker LH
AJR Am J Roentgenol; 2007 Feb; 188(2):306-12. PubMed ID: 17242235
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Stereo CT image compositing methods for lung nodule detection and characterization.
Wang XH; Good WF; Fuhrman CR; Sumkin JH; Britton CA; Golla SK
Acad Radiol; 2005 Dec; 12(12):1512-20. PubMed ID: 16321739
[TBL] [Abstract][Full Text] [Related]
11. How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT?
Suzuki K; Doi K
Acad Radiol; 2005 Oct; 12(10):1333-41. PubMed ID: 16179210
[TBL] [Abstract][Full Text] [Related]
12. Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN).
Suzuki K; Abe H; MacMahon H; Doi K
IEEE Trans Med Imaging; 2006 Apr; 25(4):406-16. PubMed ID: 16608057
[TBL] [Abstract][Full Text] [Related]
13. In vivo repeatability of automated volume calculations of small pulmonary nodules with CT.
Rampinelli C; De Fiori E; Raimondi S; Veronesi G; Bellomi M
AJR Am J Roentgenol; 2009 Jun; 192(6):1657-61. PubMed ID: 19457831
[TBL] [Abstract][Full Text] [Related]
14. Computer aided characterization of the solitary pulmonary nodule using volumetric and contrast enhancement features.
Shah SK; McNitt-Gray MF; Rogers SR; Goldin JG; Suh RD; Sayre JW; Petkovska I; Kim HJ; Aberle DR
Acad Radiol; 2005 Oct; 12(10):1310-9. PubMed ID: 16179208
[TBL] [Abstract][Full Text] [Related]
15. A new method for spherical object detection and its application to computer aided detection of pulmonary nodules in CT images.
Zhang X; Stockel J; Wolf M; Cathier P; McLennan G; Hoffman EA; Sonka M
Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):842-9. PubMed ID: 18051137
[TBL] [Abstract][Full Text] [Related]
16. Robust pulmonary nodule segmentation in CT: improving performance for juxtapleural cases.
Okada K; Ramesh V; Krishnan A; Singh M; Akdemir U
Med Image Comput Comput Assist Interv; 2005; 8(Pt 2):781-9. PubMed ID: 16686031
[TBL] [Abstract][Full Text] [Related]
17. Modeling of the lung nodules for detection in LDCT scans.
Farag A; Elhabian S; Graham J; Farag A; Elshazly S; Falk R; Mahdi H; Abdelmunim H; Al-Ghaafary S
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3618-21. PubMed ID: 21096845
[TBL] [Abstract][Full Text] [Related]
18. Refinement of lung nodule candidates based on local geometric shape analysis and Laplacian of Gaussian kernels.
Saien S; Hamid Pilevar A; Abrishami Moghaddam H
Comput Biol Med; 2014 Nov; 54():188-98. PubMed ID: 25303113
[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. Registration of lung nodules using a semi-rigid model: method and preliminary results.
Sun S; Rubin GD; Paik D; Steiner RM; Zhuge F; Napel S
Med Phys; 2007 Feb; 34(2):613-26. PubMed ID: 17388179
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
