127 related articles for article (PubMed ID: 23021776)
1. Automatic segmentation of lung nodules with growing neural gas and support vector machine.
Magalhães Barros Netto S; Corrêa Silva A; Acatauassú Nunes R; Gattass M
Comput Biol Med; 2012 Nov; 42(11):1110-21. PubMed ID: 23021776
[TBL] [Abstract][Full Text] [Related]
2. Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models.
Cascio D; Magro R; Fauci F; Iacomi M; Raso G
Comput Biol Med; 2012 Nov; 42(11):1098-109. PubMed ID: 23020972
[TBL] [Abstract][Full Text] [Related]
3. Shape-based computer-aided detection of lung nodules in thoracic CT images.
Ye X; Lin X; Dehmeshki J; Slabaugh G; Beddoe G
IEEE Trans Biomed Eng; 2009 Jul; 56(7):1810-20. PubMed ID: 19527950
[TBL] [Abstract][Full Text] [Related]
4. Methodology for automatic detection of lung nodules in computerized tomography images.
Sousa JR; Silva AC; de Paiva AC; Nunes RA
Comput Methods Programs Biomed; 2010 Apr; 98(1):1-14. PubMed ID: 19709774
[TBL] [Abstract][Full Text] [Related]
5. Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index.
de Carvalho Filho AO; de Sampaio WB; Silva AC; de Paiva AC; Nunes RA; Gattass M
Artif Intell Med; 2014 Mar; 60(3):165-77. PubMed ID: 24332156
[TBL] [Abstract][Full Text] [Related]
6. An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images.
Liu JK; Jiang HY; Gao MD; He CG; Wang Y; Wang P; Ma H; Li Y
J Med Syst; 2017 Feb; 41(2):30. PubMed ID: 28032305
[TBL] [Abstract][Full Text] [Related]
7. Multistage segmentation model and SVM-ensemble for precise lung nodule detection.
Naqi SM; Sharif M; Yasmin M
Int J Comput Assist Radiol Surg; 2018 Jul; 13(7):1083-1095. PubMed ID: 29492880
[TBL] [Abstract][Full Text] [Related]
8. Automatic detection of large pulmonary solid nodules in thoracic CT images.
Setio AA; Jacobs C; Gelderblom J; van Ginneken B
Med Phys; 2015 Oct; 42(10):5642-53. PubMed ID: 26429238
[TBL] [Abstract][Full Text] [Related]
9. Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy.
Firmino M; Angelo G; Morais H; Dantas MR; Valentim R
Biomed Eng Online; 2016 Jan; 15(1):2. PubMed ID: 26759159
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographs.
Shiraishi J; Li F; Doi K
Acad Radiol; 2007 Jan; 14(1):28-37. PubMed ID: 17178363
[TBL] [Abstract][Full Text] [Related]
11. Automated pulmonary nodule detection based on three-dimensional shape-based feature descriptor.
Choi WJ; Choi TS
Comput Methods Programs Biomed; 2014; 113(1):37-54. PubMed ID: 24148147
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Texture classification-based segmentation of lung affected by interstitial pneumonia in high-resolution CT.
Korfiatis P; Kalogeropoulou C; Karahaliou A; Kazantzi A; Skiadopoulos S; Costaridou L
Med Phys; 2008 Dec; 35(12):5290-302. PubMed ID: 19175088
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Computer-aided detection of lung nodules via 3D fast radial transform, scale space representation, and Zernike MIP classification.
Riccardi A; Petkov TS; Ferri G; Masotti M; Campanini R
Med Phys; 2011 Apr; 38(4):1962-71. PubMed ID: 21626929
[TBL] [Abstract][Full Text] [Related]
16. Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images.
Jacobs C; van Rikxoort EM; Twellmann T; Scholten ET; de Jong PA; Kuhnigk JM; Oudkerk M; de Koning HJ; Prokop M; Schaefer-Prokop C; van Ginneken B
Med Image Anal; 2014 Feb; 18(2):374-84. PubMed ID: 24434166
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Computerized characterization of lung nodule subtlety using thoracic CT images.
He X; Sahiner B; Gallas BD; Chen W; Petrick N
Phys Med Biol; 2014 Feb; 59(4):897-910. PubMed ID: 24487773
[TBL] [Abstract][Full Text] [Related]
19. Lung nodule detection on chest CT: evaluation of a computer-aided detection (CAD) system.
Lee IJ; Gamsu G; Czum J; Wu N; Johnson R; Chakrapani S
Korean J Radiol; 2005; 6(2):89-93. PubMed ID: 15968147
[TBL] [Abstract][Full Text] [Related]
20. A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model.
Bellotti R; De Carlo F; Gargano G; Tangaro S; Cascio D; Catanzariti E; Cerello P; Cheran SC; Delogu P; De Mitri I; Fulcheri C; Grosso D; Retico A; Squarcia S; Tommasi E; Golosio B
Med Phys; 2007 Dec; 34(12):4901-10. PubMed ID: 18196815
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
