These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
142 related articles for article (PubMed ID: 16871718)
1. Feature subset selection for improving the performance of false positive reduction in lung nodule CAD. Böröczky L; Zhao L; Lee KP IEEE Trans Inf Technol Biomed; 2006 Jul; 10(3):504-11. PubMed ID: 16871718 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery. Messay T; Hardie RC; Rogers SK Med Image Anal; 2010 Jun; 14(3):390-406. PubMed ID: 20346728 [TBL] [Abstract][Full Text] [Related]
4. Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method and 3D ellipsoid fitting. Ge Z; Sahiner B; Chan HP; Hadjiiski LM; Cascade PN; Bogot N; Kazerooni EA; Wei J; Zhou C Med Phys; 2005 Aug; 32(8):2443-54. PubMed ID: 16193773 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database. Schilham AM; van Ginneken B; Loog M Med Image Anal; 2006 Apr; 10(2):247-58. PubMed ID: 16293441 [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. 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]
9. Computer-aided detection of solid lung nodules in lossy compressed multidetector computed tomography chest exams. Raffy P; Gaudeau Y; Miller DP; Moureaux JM; Castellino RA Acad Radiol; 2006 Oct; 13(10):1194-203. PubMed ID: 16979068 [TBL] [Abstract][Full Text] [Related]
10. A supervised 'lesion-enhancement' filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD). Suzuki K Phys Med Biol; 2009 Sep; 54(18):S31-45. PubMed ID: 19687563 [TBL] [Abstract][Full Text] [Related]
11. A computerized scheme for lung nodule detection in multiprojection chest radiography. Guo W; Li Q; Boyce SJ; McAdams HP; Shiraishi J; Doi K; Samei E Med Phys; 2012 Apr; 39(4):2001-12. PubMed ID: 22482621 [TBL] [Abstract][Full Text] [Related]
12. Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images. Li W; Cao P; Zhao D; Wang J Comput Math Methods Med; 2016; 2016():6215085. PubMed ID: 28070212 [TBL] [Abstract][Full Text] [Related]
13. Computer-aided detection of lung nodules using outer surface features. Demir Ö; Yılmaz Çamurcu A Biomed Mater Eng; 2015; 26 Suppl 1():S1213-22. PubMed ID: 26405880 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD. Cao P; Yang J; Li W; Zhao D; Zaiane O Comput Med Imaging Graph; 2014 Apr; 38(3):137-50. PubMed ID: 24418073 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. 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] [Next] [New Search]