BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 33754214)

  • 1. 2D Statistical Lung Shape Analysis Using Chest Radiographs: Modelling and Segmentation.
    Afzali A; Babapour Mofrad F; Pouladian M
    J Digit Imaging; 2021 Jun; 34(3):523-540. PubMed ID: 33754214
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Contour-based lung shape analysis in order to tuberculosis detection: modeling and feature description.
    Afzali A; Babapour Mofrad F; Pouladian M
    Med Biol Eng Comput; 2020 Sep; 58(9):1965-1986. PubMed ID: 32572669
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Inter-Patient Modelling of 2D Lung Variations from Chest X-Ray Imaging via Fourier Descriptors.
    Afzali A; Babapour Mofrad F; Pouladian M
    J Med Syst; 2018 Oct; 42(11):233. PubMed ID: 30317451
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An edge-region force guided active shape approach for automatic lung field detection in chest radiographs.
    Xu T; Mandal M; Long R; Cheng I; Basu A
    Comput Med Imaging Graph; 2012 Sep; 36(6):452-63. PubMed ID: 22608158
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Lung Segmentation using Active Shape Model to Detect the Disease from Chest Radiography.
    Dorri Giv M; Haghighi Borujeini M; Seifi Makrani D; Dastranj L; Yadollahi M; Semyari S; Sadrnia M; Ataei G; Riahi Madvar H
    J Biomed Phys Eng; 2021 Dec; 11(6):747-756. PubMed ID: 34904071
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 3D segmentation of lungs with juxta-pleural tumor using the improved active shape model approach.
    Sun S; Ren H; Dan T; Wei W
    Technol Health Care; 2021; 29(S1):385-398. PubMed ID: 33682776
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hierarchical shape statistical model for segmentation of lung fields in chest radiographs.
    Shi Y; Shen D
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):417-24. PubMed ID: 18979774
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Hierarchical lung field segmentation with joint shape and appearance sparse learning.
    Shao Y; Gao Y; Guo Y; Shi Y; Yang X; Shen D
    IEEE Trans Med Imaging; 2014 Sep; 33(9):1761-80. PubMed ID: 25181734
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning.
    Mansoor A; Cerrolaza JJ; Perez G; Biggs E; Okada K; Nino G; Linguraru MG
    IEEE Trans Biomed Eng; 2020 Apr; 67(4):1206-1220. PubMed ID: 31425015
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Segmenting lung fields in serial chest radiographs using both population-based and patient-specific shape statistics.
    Shi Y; Qi F; Xue Z; Chen L; Ito K; Matsuo H; Shen D
    IEEE Trans Med Imaging; 2008 Apr; 27(4):481-94. PubMed ID: 18390345
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Gradient vector flow based active shape model for lung field segmentation in chest radiographs.
    Xu T; Mandal M; Long R; Basu A
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3561-4. PubMed ID: 19964999
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Minimal Path Searching Approach for Active Shape Model (ASM)-based Segmentation of the Lung.
    Guo S; Fei B
    Proc SPIE Int Soc Opt Eng; 2009 Mar; 7259():. PubMed ID: 24386531
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Spline curve deformation model with prior shapes for identifying adhesion boundaries between large lung tumors and tissues around lungs in CT images.
    Zhang X; Wang J; Yang Y; Wang B; Gu L
    Med Phys; 2020 Mar; 47(3):1011-1020. PubMed ID: 31883391
    [TBL] [Abstract][Full Text] [Related]  

  • 14. H-SegNet: hybrid segmentation network for lung segmentation in chest radiographs using mask region-based convolutional neural network and adaptive closed polyline searching method.
    Peng T; Wang C; Zhang Y; Wang J
    Phys Med Biol; 2022 Mar; 67(7):. PubMed ID: 35287125
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging.
    Bagci U; Foster B; Miller-Jaster K; Luna B; Dey B; Bishai WR; Jonsson CB; Jain S; Mollura DJ
    EJNMMI Res; 2013 Jul; 3(1):55. PubMed ID: 23879987
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Segmentation and tracking of lung nodules via graph-cuts incorporating shape prior and motion from 4D CT.
    Cha J; Farhangi MM; Dunlap N; Amini AA
    Med Phys; 2018 Jan; 45(1):297-306. PubMed ID: 29164630
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A method for avoiding overlap of left and right lungs in shape model guided segmentation of lungs in CT volumes.
    Gill G; Bauer C; Beichel RR
    Med Phys; 2014 Oct; 41(10):101908. PubMed ID: 25281960
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated Lung Segmentation from HRCT Scans with Diffuse Parenchymal Lung Diseases.
    Pulagam AR; Kande GB; Ede VK; Inampudi RB
    J Digit Imaging; 2016 Aug; 29(4):507-19. PubMed ID: 26961983
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spectral clustering of shape and probability prior models for automatic prostate segmentation.
    Ghose S; Mitra J; Oliver A; Martí R; Lladó X; Freixenet J; Vilanova JC; Comet J; Sidibé D; Meriaudeau F
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():2335-8. PubMed ID: 23366392
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimation of mouse organ locations through registration of a statistical mouse atlas with micro-CT images.
    Wang H; Stout DB; Chatziioannou AF
    IEEE Trans Med Imaging; 2012 Jan; 31(1):88-102. PubMed ID: 21859613
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.