751 related articles for article (PubMed ID: 26055544)
41. Segmentation of pulmonary nodules in three-dimensional CT images by use of a spiral-scanning technique.
Wang J; Engelmann R; Li Q
Med Phys; 2007 Dec; 34(12):4678-89. PubMed ID: 18196795
[TBL] [Abstract][Full Text] [Related]
42. 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]
43. 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]
44. Automated segmentation refinement of small lung nodules in CT scans by local shape analysis.
Diciotti S; Lombardo S; Falchini M; Picozzi G; Mascalchi M
IEEE Trans Biomed Eng; 2011 Dec; 58(12):3418-28. PubMed ID: 21914567
[TBL] [Abstract][Full Text] [Related]
45. Lung nodule segmentation and recognition using SVM classifier and active contour modeling: a complete intelligent system.
Keshani M; Azimifar Z; Tajeripour F; Boostani R
Comput Biol Med; 2013 May; 43(4):287-300. PubMed ID: 23369568
[TBL] [Abstract][Full Text] [Related]
46. 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]
47. A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images.
Dhara AK; Mukhopadhyay S; Dutta A; Garg M; Khandelwal N
J Digit Imaging; 2016 Aug; 29(4):466-75. PubMed ID: 26738871
[TBL] [Abstract][Full Text] [Related]
48. Three-dimensional lung nodule segmentation and shape variance analysis to detect lung cancer with reduced false positives.
Krishnamurthy S; Narasimhan G; Rengasamy U
Proc Inst Mech Eng H; 2016 Jan; 230(1):58-70. PubMed ID: 26721427
[TBL] [Abstract][Full Text] [Related]
49. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
Armato SG; McLennan G; Bidaut L; McNitt-Gray MF; Meyer CR; Reeves AP; Zhao B; Aberle DR; Henschke CI; Hoffman EA; Kazerooni EA; MacMahon H; Van Beeke EJ; Yankelevitz D; Biancardi AM; Bland PH; Brown MS; Engelmann RM; Laderach GE; Max D; Pais RC; Qing DP; Roberts RY; Smith AR; Starkey A; Batrah P; Caligiuri P; Farooqi A; Gladish GW; Jude CM; Munden RF; Petkovska I; Quint LE; Schwartz LH; Sundaram B; Dodd LE; Fenimore C; Gur D; Petrick N; Freymann J; Kirby J; Hughes B; Casteele AV; Gupte S; Sallamm M; Heath MD; Kuhn MH; Dharaiya E; Burns R; Fryd DS; Salganicoff M; Anand V; Shreter U; Vastagh S; Croft BY
Med Phys; 2011 Feb; 38(2):915-31. PubMed ID: 21452728
[TBL] [Abstract][Full Text] [Related]
50. Overcoming the Challenge of Accurate Segmentation of Lung Nodules: A Multi-crop CNN Approach.
Sweetline BC; Vijayakumaran C; Samydurai A
J Imaging Inform Med; 2024 Jun; 37(3):988-1007. PubMed ID: 38347393
[TBL] [Abstract][Full Text] [Related]
51. Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.
Zheng S; Guo J; Cui X; Veldhuis RNJ; Oudkerk M; van Ooijen PMA
IEEE Trans Med Imaging; 2020 Mar; 39(3):797-805. PubMed ID: 31425026
[TBL] [Abstract][Full Text] [Related]
52. Research progress of computer aided diagnosis system for pulmonary nodules in CT images.
Wang Y; Wu B; Zhang N; Liu J; Ren F; Zhao L
J Xray Sci Technol; 2020; 28(1):1-16. PubMed ID: 31815727
[TBL] [Abstract][Full Text] [Related]
53. Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.
Wang Q; Shen F; Shen L; Huang J; Sheng W
J Digit Imaging; 2019 Dec; 32(6):971-979. PubMed ID: 31062113
[TBL] [Abstract][Full Text] [Related]
54. Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.
Ye W; Gu W; Guo X; Yi P; Meng Y; Han F; Yu L; Chen Y; Zhang G; Wang X
Biomed Eng Online; 2019 Jan; 18(1):6. PubMed ID: 30670024
[TBL] [Abstract][Full Text] [Related]
55. Research on a pulmonary nodule segmentation method combining fast self-adaptive FCM and classification.
Liu H; Zhang CM; Su ZY; Wang K; Deng K
Comput Math Methods Med; 2015; 2015():185726. PubMed ID: 25945120
[TBL] [Abstract][Full Text] [Related]
56. Detection of pulmonary nodules in CT images based on fuzzy integrated active contour model and hybrid parametric mixture model.
Li B; Chen K; Tian L; Yeboah Y; Ou S
Comput Math Methods Med; 2013; 2013():515386. PubMed ID: 23690876
[TBL] [Abstract][Full Text] [Related]
57. A novel computer-aided lung nodule detection system for CT images.
Tan M; Deklerck R; Jansen B; Bister M; Cornelis J
Med Phys; 2011 Oct; 38(10):5630-45. PubMed ID: 21992380
[TBL] [Abstract][Full Text] [Related]
58. Automated detection of small pulmonary nodules in whole lung CT scans.
Enquobahrie AA; Reeves AP; Yankelevitz DF; Henschke CI
Acad Radiol; 2007 May; 14(5):579-93. PubMed ID: 17434072
[TBL] [Abstract][Full Text] [Related]
59. Supervised probabilistic segmentation of pulmonary nodules in CT scans.
van Ginneken B
Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):912-9. PubMed ID: 17354860
[TBL] [Abstract][Full Text] [Related]
60. Segmentation of lung nodules in computed tomography images using dynamic programming and multidirection fusion techniques.
Wang Q; Song E; Jin R; Han P; Wang X; Zhou Y; Zeng J
Acad Radiol; 2009 Jun; 16(6):678-88. PubMed ID: 19345122
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
