BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

125 related articles for article (PubMed ID: 21158282)

  • 1. Level-set segmentation of pulmonary nodules in megavolt electronic portal images using a CT prior.
    Schildkraut JS; Prosser N; Savakis A; Gomez J; Nazareth D; Singh AK; Malhotra HK
    Med Phys; 2010 Nov; 37(11):5703-10. PubMed ID: 21158282
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Three-dimensional analysis of pulmonary nodules by MSCT with Advanced Lung Analysis (ALA1) software.
    Volterrani L; Mazzei MA; Scialpi M; Carcano M; Carbone SF; Ricci V; Guazzi G; Lupattelli L
    Radiol Med; 2006 Apr; 111(3):343-54. PubMed ID: 16683082
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Ant colony optimization approaches to clustering of lung nodules from CT images.
    Gopalakrishnan RC; Kuppusamy V
    Comput Math Methods Med; 2014; 2014():572494. PubMed ID: 25525455
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Linear and volume measurements of pulmonary nodules at different CT dose levels - intrascan and interscan analysis.
    Hein PA; Romano VC; Rogalla P; Klessen C; Lembcke A; Dicken V; Bornemann L; Bauknecht HC
    Rofo; 2009 Jan; 181(1):24-31. PubMed ID: 19085687
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Limited-Range Few-View CT: Using Historical Images for ROI Reconstruction in Solitary Lung Nodules Follow-up Examination.
    Zhang W; Song Y; Chen Y; Ma J; Sun J; Zhao J
    IEEE Trans Med Imaging; 2017 Dec; 36(12):2569-2577. PubMed ID: 29192886
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Computed tomography quantitative analysis of components: a new method monitoring the growth of pulmonary nodule.
    Linning E; Wu S; Wang K; Meng H; Sun D; Wu Z
    Acta Radiol; 2013 Oct; 54(8):904-8. PubMed ID: 23761548
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of the cone beam CT for internal target volume localization in lung stereotactic radiotherapy in comparison with 4D MIP images.
    Wang L; Chen X; Lin MH; Xue J; Lin T; Fan J; Jin L; Ma CM
    Med Phys; 2013 Nov; 40(11):111709. PubMed ID: 24320417
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Data analysis of the Lung Imaging Database Consortium and Image Database Resource Initiative.
    Wang W; Luo J; Yang X; Lin H
    Acad Radiol; 2015 Apr; 22(4):488-95. PubMed ID: 25601306
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer.
    Massion PP; Healey GF; Peek LJ; Fredericks L; Sewell HF; Murray A; Robertson JF
    J Thorac Oncol; 2017 Mar; 12(3):578-584. PubMed ID: 27615397
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pulmonary nodule registration in serial CT scans based on rib anatomy and nodule template matching.
    Shi J; Sahiner B; Chan HP; Hadjiiski L; Zhou C; Cascade PN; Bogot N; Kazerooni EA; Wu YT; Wei J
    Med Phys; 2007 Apr; 34(4):1336-47. PubMed ID: 17500464
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Assessment of prior image induced nonlocal means regularization for low-dose CT reconstruction: Change in anatomy.
    Zhang H; Ma J; Wang J; Moore W; Liang Z
    Med Phys; 2017 Sep; 44(9):e264-e278. PubMed ID: 28901622
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Pulmonary nodules: a quantitative method of diagnosis by evaluating nodule perimeter difference to approximate oval using three-dimensional CT images.
    Kamiya H; Murayama S; Kakinohana Y; Miyara T
    Clin Imaging; 2011; 35(2):123-6. PubMed ID: 21377050
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.