BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

815 related articles for article (PubMed ID: 21992380)

  • 1. 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]  

  • 2. 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]  

  • 3. Phased searching with NEAT in a time-scaled framework: experiments on a computer-aided detection system for lung nodules.
    Tan M; Deklerck R; Cornelis J; Jansen B
    Artif Intell Med; 2013 Nov; 59(3):157-67. PubMed ID: 24028824
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification.
    Shiraishi J; Li Q; Suzuki K; Engelmann R; Doi K
    Med Phys; 2006 Jul; 33(7):2642-53. PubMed ID: 16898468
    [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. 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]  

  • 8. Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours.
    Way TW; Hadjiiski LM; Sahiner B; Chan HP; Cascade PN; Kazerooni EA; Bogot N; Zhou C
    Med Phys; 2006 Jul; 33(7):2323-37. PubMed ID: 16898434
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic detection of multisize pulmonary nodules in CT images: Large-scale validation of the false-positive reduction step.
    Gupta A; Saar T; Martens O; Moullec YL
    Med Phys; 2018 Mar; 45(3):1135-1149. PubMed ID: 29359462
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics.
    Kaya A; Can AB
    J Biomed Inform; 2015 Aug; 56():69-79. PubMed ID: 26008877
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database.
    Jacobs C; van Rikxoort EM; Murphy K; Prokop M; Schaefer-Prokop CM; van Ginneken B
    Eur Radiol; 2016 Jul; 26(7):2139-47. PubMed ID: 26443601
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel multithreshold method for nodule detection in lung CT.
    Golosio B; Masala GL; Piccioli A; Oliva P; Carpinelli M; Cataldo R; Cerello P; De Carlo F; Falaschi F; Fantacci ME; Gargano G; Kasae P; Torsello M
    Med Phys; 2009 Aug; 36(8):3607-18. PubMed ID: 19746795
    [TBL] [Abstract][Full Text] [Related]  

  • 13. High performance lung nodule detection schemes in CT using local and global information.
    Guo W; Li Q
    Med Phys; 2012 Aug; 39(8):5157-68. PubMed ID: 22894441
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fully automatic detection of lung nodules in CT images using a hybrid feature set.
    Shaukat F; Raja G; Gooya A; Frangi AF
    Med Phys; 2017 Jul; 44(7):3615-3629. PubMed ID: 28409834
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Improved lung nodule diagnosis accuracy using lung CT images with uncertain class.
    Wang Z; Xin J; Sun P; Lin Z; Yao Y; Gao X
    Comput Methods Programs Biomed; 2018 Aug; 162():197-209. PubMed ID: 29903487
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Large scale validation of the M5L lung CAD on heterogeneous CT datasets.
    Torres EL; Fiorina E; Pennazio F; Peroni C; Saletta M; Camarlinghi N; Fantacci ME; Cerello P
    Med Phys; 2015 Apr; 42(4):1477-89. PubMed ID: 25832038
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 41.