230 related articles for article (PubMed ID: 27752930)
1. 3D shape analysis to reduce false positives for lung nodule detection systems.
Filho AOC; Silva AC; de Paiva AC; Nunes RA; Gattass M
Med Biol Eng Comput; 2017 Aug; 55(8):1199-1213. PubMed ID: 27752930
[TBL] [Abstract][Full Text] [Related]
2. Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.
de Carvalho Filho AO; Silva AC; de Paiva AC; Nunes RA; Gattass M
Med Biol Eng Comput; 2017 Aug; 55(8):1129-1146. PubMed ID: 27699621
[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. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine.
Madero Orozco H; Vergara Villegas OO; Cruz Sánchez VG; Ochoa Domínguez Hde J; Nandayapa Alfaro Mde J
Biomed Eng Online; 2015 Feb; 14():9. PubMed ID: 25888834
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided detection of lung nodules by SVM based on 3D matrix patterns.
Wang Q; Kang W; Wu C; Wang B
Clin Imaging; 2013; 37(1):62-9. PubMed ID: 23206609
[TBL] [Abstract][Full Text] [Related]
11. Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography.
Suzuki K; Armato SG; Li F; Sone S; Doi K
Med Phys; 2003 Jul; 30(7):1602-17. PubMed ID: 12906178
[TBL] [Abstract][Full Text] [Related]
12. Automated detection of lung nodules in CT images using shape-based genetic algorithm.
Dehmeshki J; Ye X; Lin X; Valdivieso M; Amin H
Comput Med Imaging Graph; 2007 Sep; 31(6):408-17. PubMed ID: 17524617
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 3D shape analysis for early diagnosis of malignant lung nodules.
El-Bazl A; Nitzken M; Khalifa F; Elnakib A; Gimel'farb G; Falk R; El-Ghar MA
Inf Process Med Imaging; 2011; 22():772-83. PubMed ID: 21761703
[TBL] [Abstract][Full Text] [Related]
15. Automatic 3D pulmonary nodule detection in CT images: A survey.
Valente IR; Cortez PC; Neto EC; Soares JM; de Albuquerque VH; Tavares JM
Comput Methods Programs Biomed; 2016 Feb; 124():91-107. PubMed ID: 26652979
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Multi-scale Convolutional Neural Networks for Lung Nodule Classification.
Shen W; Zhou M; Yang F; Yang C; Tian J
Inf Process Med Imaging; 2015; 24():588-99. PubMed ID: 26221705
[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 Segmentation Framework of Pulmonary Nodules in Lung CT Images.
Mukhopadhyay S
J Digit Imaging; 2016 Feb; 29(1):86-103. PubMed ID: 26055544
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]