These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

111 related articles for article (PubMed ID: 11099215)

  • 1. Automatic segmentation of lung fields in chest radiographs.
    van Ginneken B; ter Haar Romeny BM
    Med Phys; 2000 Oct; 27(10):2445-55. PubMed ID: 11099215
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database.
    Schilham AM; van Ginneken B; Loog M
    Med Image Anal; 2006 Apr; 10(2):247-58. PubMed ID: 16293441
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database.
    van Ginneken B; Stegmann MB; Loog M
    Med Image Anal; 2006 Feb; 10(1):19-40. PubMed ID: 15919232
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic detection of lesions in lung regions that are segmented using spatial relations.
    Hassen DB; Taleb H
    Clin Imaging; 2013; 37(3):498-503. PubMed ID: 23601768
    [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. Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming.
    Maduskar P; Hogeweg L; de Jong PA; Peters-Bax L; Dawson R; Ayles H; Sánchez CI; van Ginneken B
    Med Phys; 2014 Jul; 41(7):071912. PubMed ID: 24989390
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic segmentation of lung fields on chest radiographic images.
    Carreira MJ; Cabello D; Mosquera A
    Comput Biomed Res; 1999 Jun; 32(3):283-303. PubMed ID: 10356306
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated segmentation of anatomic regions in chest radiographs using an adaptive-sized hybrid neural network.
    Tsujii O; Freedman MT; Mun SK
    Med Phys; 1998 Jun; 25(6):998-1007. PubMed ID: 9650190
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Lung segmentation on standard and mobile chest radiographs using oriented Gaussian derivatives filter.
    Wan Ahmad WS; Zaki WM; Ahmad Fauzi MF
    Biomed Eng Online; 2015 Mar; 14():20. PubMed ID: 25889188
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Automatic segmentation of lung fields in chest radiographs based on dense matching of local features].
    She G; Chen Y; Zhong L; Yang W; Feng Q
    Nan Fang Yi Ke Da Xue Xue Bao; 2016 Jan; 36(1):61-6. PubMed ID: 26806740
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification.
    Loog M; van Ginneken B
    IEEE Trans Med Imaging; 2006 May; 25(5):602-11. PubMed ID: 16689264
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration.
    Candemir S; Jaeger S; Palaniappan K; Musco JP; Singh RK; Zhiyun Xue ; Karargyris A; Antani S; Thoma G; McDonald CJ
    IEEE Trans Med Imaging; 2014 Feb; 33(2):577-90. PubMed ID: 24239990
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Identification of lung regions in chest radiographs using Markov random field modeling.
    Vittitoe NF; Vargas-Voracek R; Floyd CF
    Med Phys; 1998 Jun; 25(6):976-85. PubMed ID: 9650188
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images.
    Xu XW; Doi K; Kobayashi T; MacMahon H; Giger ML
    Med Phys; 1997 Sep; 24(9):1395-403. PubMed ID: 9304567
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Image feature analysis for computer-aided diagnosis: detection of right and left hemidiaphragm edges and delineation of lung field in chest radiographs.
    Xu XW; Doi K
    Med Phys; 1996 Sep; 23(9):1613-24. PubMed ID: 8892259
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improved method for automatic identification of lung regions on chest radiographs.
    Li L; Zheng Y; Kallergi M; Clark RA
    Acad Radiol; 2001 Jul; 8(7):629-38. PubMed ID: 11450964
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographs.
    Shiraishi J; Li F; Doi K
    Acad Radiol; 2007 Jan; 14(1):28-37. PubMed ID: 17178363
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic calculation of total lung capacity from automatically traced lung boundaries in postero-anterior and lateral digital chest radiographs.
    Carrascal FM; Carreira JM; Souto M; Tahoces PG; Gómez L; Vidal JJ
    Med Phys; 1998 Jul; 25(7 Pt 1):1118-31. PubMed ID: 9682197
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.