259 related articles for article (PubMed ID: 18270056)
21. Evaluation of algorithm for extraction of lung regions in CT exams.
Melo P; Vasconcelos G; Diniz P; França C; Diniz J; Novaes M
Stud Health Technol Inform; 2013; 192():1176. PubMed ID: 23920950
[TBL] [Abstract][Full Text] [Related]
22. An Optimized Superpixel Clustering Approach for High-Resolution Chest CT Image Segmentation.
Pinheiro da Rosa R; Cordeiro d'Ornellas M
Stud Health Technol Inform; 2015; 216():1045. PubMed ID: 26262344
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior.
Feulner J; Zhou SK; Hammon M; Hornegger J; Comaniciu D
Med Image Anal; 2013 Feb; 17(2):254-70. PubMed ID: 23246185
[TBL] [Abstract][Full Text] [Related]
25. Texture classification in lung CT using local binary patterns.
Sørensen L; Shaker SB; de Bruijne M
Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):934-41. PubMed ID: 18979835
[TBL] [Abstract][Full Text] [Related]
26. Automated lung volumetry from routine thoracic CT scans: how reliable is the result?
Haas M; Hamm B; Niehues SM
Acad Radiol; 2014 May; 21(5):633-8. PubMed ID: 24703476
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Informatics in radiology: Hesse rendering for computer-aided visualization and analysis of anomalies at chest CT and breast MR imaging.
Wiemker R; Dharaiya ED; Bülow T
Radiographics; 2012; 32(1):289-304. PubMed ID: 22095314
[TBL] [Abstract][Full Text] [Related]
29. Automated estimation of the upper surface of the diaphragm in 3-D CT images.
Zhou X; Ninomiya H; Hara T; Fujita H; Yokoyama R; Chen H; Kiryu T; Hoshi H
IEEE Trans Biomed Eng; 2008 Jan; 55(1):351-3. PubMed ID: 18232381
[TBL] [Abstract][Full Text] [Related]
30. Automatic segmentation of pulmonary lobes robust against incomplete fissures.
van Rikxoort EM; Prokop M; de Hoop B; Viergever MA; Pluim JP; van Ginneken B
IEEE Trans Med Imaging; 2010 Jun; 29(6):1286-96. PubMed ID: 20304724
[TBL] [Abstract][Full Text] [Related]
31. Computer-aided diagnosis in high resolution CT of the lungs.
Sluimer IC; van Waes PF; Viergever MA; van Ginneken B
Med Phys; 2003 Dec; 30(12):3081-90. PubMed ID: 14713074
[TBL] [Abstract][Full Text] [Related]
32. Prototype system for enhancement of frontal chest radiographs using eigenimage processing.
Butler A; Bones P; Hurrell M
J Med Imaging Radiat Oncol; 2008 Jun; 52(3):244-53. PubMed ID: 18477119
[TBL] [Abstract][Full Text] [Related]
33. Automated texture-based quantification of centrilobular nodularity and centrilobular emphysema in chest CT images.
Ginsburg SB; Lynch DA; Bowler RP; Schroeder JD
Acad Radiol; 2012 Oct; 19(10):1241-51. PubMed ID: 22958719
[TBL] [Abstract][Full Text] [Related]
34. Pulmonary lobe segmentation in CT examinations using implicit surface fitting.
Pu J; Zheng B; Leader JK; Fuhrman C; Knollmann F; Klym A; Gur D
IEEE Trans Med Imaging; 2009 Dec; 28(12):1986-96. PubMed ID: 19628453
[TBL] [Abstract][Full Text] [Related]
35. Computer-assisted detection of infectious lung diseases: a review.
Bağcı U; Bray M; Caban J; Yao J; Mollura DJ
Comput Med Imaging Graph; 2012 Jan; 36(1):72-84. PubMed ID: 21723090
[TBL] [Abstract][Full Text] [Related]
36. Thoracic non-rigid registration combining self-organizing maps and radial basis functions.
Matsopoulos GK; Mouravliansky NA; Asvestas PA; Delibasis KK; Kouloulias V
Med Image Anal; 2005 Jun; 9(3):237-54. PubMed ID: 15854844
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. A three-stage method for the 3D reconstruction of the tracheobronchial tree from CT scans.
Rosell J; Cabras P
Comput Med Imaging Graph; 2013; 37(7-8):430-7. PubMed ID: 23981684
[TBL] [Abstract][Full Text] [Related]
39. Automated model-based rib cage segmentation and labeling in CT images.
Klinder T; Lorenz C; von Berg J; Dries SP; Bülow T; Ostermann J
Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):195-202. PubMed ID: 18044569
[TBL] [Abstract][Full Text] [Related]
40. Fast computation of Hessian-based enhancement filters for medical images.
Yang SF; Cheng CH
Comput Methods Programs Biomed; 2014 Oct; 116(3):215-25. PubMed ID: 24891123
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
