BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

341 related articles for article (PubMed ID: 10903706)

  • 1. Improvement in detection of pulmonary nodules: digital image processing and computer-aided diagnosis.
    MacMahon H
    Radiographics; 2000; 20(4):1169-77. PubMed ID: 10903706
    [No Abstract]   [Full Text] [Related]  

  • 2. JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function.
    Lo SB; Freedman MT; Gillis LB; White CS; Mun SK
    AJR Am J Roentgenol; 2018 Mar; 210(3):480-488. PubMed ID: 29336601
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Three-dimensional volumetric assessment with thoracic CT: a reliable approach for noncalcified lung nodules?
    Mazzei MA; Scialpi M; Mazzei FG; Giacobone G; Volterrani L
    Radiology; 2010 Feb; 254(2):634; author reply 635. PubMed ID: 20093537
    [No Abstract]   [Full Text] [Related]  

  • 4. Effect of multiscale processing in digital chest radiography on automated detection of lung nodule with a computer assistance system.
    He Q; He W; Wang K; Ma D
    J Digit Imaging; 2008 Oct; 21 Suppl 1(Suppl 1):S164-70. PubMed ID: 18239963
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Functional CT: lung nodule evaluation.
    Swensen SJ
    Radiographics; 2000; 20(4):1178-81. PubMed ID: 10903707
    [No Abstract]   [Full Text] [Related]  

  • 6. 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]  

  • 7. [Pulmonary nodules].
    Herold C; Prosch H; Schaefer-Prokop C
    Radiologe; 2014 May; 54(5):425-6. PubMed ID: 24824377
    [No Abstract]   [Full Text] [Related]  

  • 8. Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening.
    Arimura H; Katsuragawa S; Suzuki K; Li F; Shiraishi J; Sone S; Doi K
    Acad Radiol; 2004 Jun; 11(6):617-29. PubMed ID: 15172364
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computer-aided differentiation of malignant from benign solitary pulmonary nodules imaged by high-resolution CT.
    Iwano S; Nakamura T; Kamioka Y; Ikeda M; Ishigaki T
    Comput Med Imaging Graph; 2008 Jul; 32(5):416-22. PubMed ID: 18501556
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer-aided diagnosis and the evaluation of lung disease.
    Ko JP; Naidich DP
    J Thorac Imaging; 2004 Jul; 19(3):136-55. PubMed ID: 15273610
    [No Abstract]   [Full Text] [Related]  

  • 11. Assessing the use of digital radiography and a real-time interactive pulmonary nodule analysis system for large population lung cancer screening.
    Xu Y; Ma D; He W
    Eur J Radiol; 2012 Apr; 81(4):e451-6. PubMed ID: 21621935
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Temporal subtraction for detection of solitary pulmonary nodules on chest radiographs: evaluation of a commercially available computer-aided diagnosis system.
    Johkoh T; Kozuka T; Tomiyama N; Hamada S; Honda O; Mihara N; Koyama M; Tsubamoto M; Maeda M; Nakamura H; Saki H; Fujiwara K
    Radiology; 2002 Jun; 223(3):806-11. PubMed ID: 12034953
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Gray-scale reversal for the detection of pulmonary nodules on a PACS workstation.
    De Boo DW; Uffmann M; Bipat S; Boorsma EF; Scheerder MJ; Weber M; Schaefer-Prokop CM
    AJR Am J Roentgenol; 2011 Nov; 197(5):1096-100. PubMed ID: 22021501
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research.
    Ferreira Junior JR; Oliveira MC; de Azevedo-Marques PM
    J Digit Imaging; 2016 Dec; 29(6):716-729. PubMed ID: 27440183
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Pulmonary nodules: computer-aided detection in digital chest images.
    Giger ML; Doi K; MacMahon H; Metz CE; Yin FF
    Radiographics; 1990 Jan; 10(1):41-51. PubMed ID: 2296696
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A computer-aided diagnosis for evaluating lung nodules on chest CT: the current status and perspective.
    Goo JM
    Korean J Radiol; 2011; 12(2):145-55. PubMed ID: 21430930
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dual energy subtraction digital radiography: technical considerations, clinical applications, and imaging pitfalls.
    Gilkeson RC; Sachs PB
    J Thorac Imaging; 2006 Nov; 21(4):303-13. PubMed ID: 17110857
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computer-aided diagnosis of small pulmonary nodules.
    Reeves AP; Kostis WJ
    Semin Ultrasound CT MR; 2000 Apr; 21(2):116-28. PubMed ID: 10776884
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.