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 *

203 related articles for article (PubMed ID: 11811823)

  • 1. Computer-aided diagnosis in chest radiography: a survey.
    van Ginneken B; ter Haar Romeny BM; Viergever MA
    IEEE Trans Med Imaging; 2001 Dec; 20(12):1228-41. PubMed ID: 11811823
    [TBL] [Abstract][Full Text] [Related]  

  • 2. False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network.
    Suzuki K; Shiraishi J; Abe H; MacMahon H; Doi K
    Acad Radiol; 2005 Feb; 12(2):191-201. PubMed ID: 15721596
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Local contralateral subtraction based on bilateral symmetry of lung for reduction of false positives in computerized detection of pulmonary nodules.
    Yoshida H
    IEEE Trans Biomed Eng; 2004 May; 51(5):778-89. PubMed ID: 15132504
    [TBL] [Abstract][Full Text] [Related]  

  • 5. One-shot dual-energy subtraction chest imaging with computed radiography: clinical evaluation of film images.
    Ishigaki T; Sakuma S; Ikeda M
    Radiology; 1988 Jul; 168(1):67-72. PubMed ID: 3289096
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer-aided diagnosis in chest radiography: beyond nodules.
    van Ginneken B; Hogeweg L; Prokop M
    Eur J Radiol; 2009 Nov; 72(2):226-30. PubMed ID: 19604661
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Temporal subtraction chest radiography.
    MacMahon H; Armato SG
    Eur J Radiol; 2009 Nov; 72(2):238-43. PubMed ID: 19577872
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computer-aided detection (CAD) of lung nodules and small tumours on chest radiographs.
    De Boo DW; Prokop M; Uffmann M; van Ginneken B; Schaefer-Prokop CM
    Eur J Radiol; 2009 Nov; 72(2):218-25. PubMed ID: 19747791
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computer-aided detection of solid lung nodules in lossy compressed multidetector computed tomography chest exams.
    Raffy P; Gaudeau Y; Miller DP; Moureaux JM; Castellino RA
    Acad Radiol; 2006 Oct; 13(10):1194-203. PubMed ID: 16979068
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Digital tomosynthesis of the chest.
    Dobbins JT; McAdams HP; Godfrey DJ; Li CM
    J Thorac Imaging; 2008 May; 23(2):86-92. PubMed ID: 18520565
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Image feature analysis of false-positive diagnoses produced by automated detection of lung nodules.
    Matsumoto T; Yoshimura H; Doi K; Giger ML; Kano A; MacMahon H; Abe K; Montner SM
    Invest Radiol; 1992 Aug; 27(8):587-97. PubMed ID: 1428736
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic detection and recognition of silicosis in chest radiograph.
    Zhu L; Zheng R; Jin H; Zhang Q; Zhang W
    Biomed Mater Eng; 2014; 24(6):3389-95. PubMed ID: 25227049
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hybrid reconstruction kernel: optimized chest CT.
    Strub WM; Weiss KL; Sun D
    AJR Am J Roentgenol; 2007 Aug; 189(2):W115-6. PubMed ID: 17646435
    [No Abstract]   [Full Text] [Related]  

  • 14. Automated patient identity recognition by analysis of chest radiograph features.
    Kao EF; Lin WC; Jaw TS; Liu GC; Wu JS; Lee CN
    Acad Radiol; 2013 Aug; 20(8):1024-31. PubMed ID: 23830608
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Nodule detection in digital chest radiography: introduction to the RADIUS chest trial.
    Båth M; Håkansson M; Börjesson S; Kheddache S; Grahn A; Ruschin M; Tingberg A; Mattsson S; Månsson LG
    Radiat Prot Dosimetry; 2005; 114(1-3):85-91. PubMed ID: 15933086
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Image feature analysis and computer-aided diagnosis in digital radiography: automated delineation of posterior ribs in chest images.
    Sanada S; Doi K; MacMahon H
    Med Phys; 1991; 18(5):964-71. PubMed ID: 1961161
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Recent advances in chest radiography.
    McAdams HP; Samei E; Dobbins J; Tourassi GD; Ravin CE
    Radiology; 2006 Dec; 241(3):663-83. PubMed ID: 17114619
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.