BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

141 related articles for article (PubMed ID: 16077335)

  • 1. Lung nodule detection and characterization with multi-slice CT.
    Ko JP
    J Thorac Imaging; 2005 Aug; 20(3):196-209. PubMed ID: 16077335
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Pulmonary nodule detection, characterization, and management with multidetector computed tomography.
    Brandman S; Ko JP
    J Thorac Imaging; 2011 May; 26(2):90-105. PubMed ID: 21508732
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Characterization of radiologists' search strategies for lung nodule detection: slice-based versus volumetric displays.
    Wang XH; Durick JE; Lu A; Herbert DL; Golla SK; Foley K; Piracha CS; Shinde DD; Shindel BE; Fuhrman CR; Britton CA; Strollo DC; Shang SS; Lacomis JM; Good WF
    J Digit Imaging; 2008 Oct; 21 Suppl 1(Suppl 1):S39-49. PubMed ID: 17874330
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners.
    Goodsitt MM; Chan HP; Way TW; Larson SC; Christodoulou EG; Kim J
    Med Phys; 2006 Aug; 33(8):3006-17. PubMed ID: 16964879
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Computer-aided detection (CAD) of solid pulmonary nodules in chest x-ray equivalent ultralow dose chest CT - first in-vivo results at dose levels of 0.13mSv.
    Messerli M; Kluckert T; Knitel M; Rengier F; Warschkow R; Alkadhi H; Leschka S; Wildermuth S; Bauer RW
    Eur J Radiol; 2016 Dec; 85(12):2217-2224. PubMed ID: 27842670
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology.
    Petrou M; Quint LE; Nan B; Baker LH
    AJR Am J Roentgenol; 2007 Feb; 188(2):306-12. PubMed ID: 17242235
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Quantitative nodule detection in low dose chest CT scans: new template modeling and evaluation for CAD system design.
    Farag AA; El-Baz A; Gimelfarb G; El-Ghar MA; Eldiasty T
    Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):720-8. PubMed ID: 16685910
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Difficulty of early diagnosis in patients with solitary pulmonary nodule.
    Sortini D; Maravegias K; Sortini A
    J Thorac Cardiovasc Surg; 2005 May; 129(5):1196; author reply 1196-7. PubMed ID: 15867812
    [No Abstract]   [Full Text] [Related]  

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

  • 11. [Development of computer-aided diagnostic system for detection of lung nodules in three-dimensional computed tomography images].
    Yamamoto M; Ishida T; Kawashita I; Kagemoto M; Fujikawa K; Mitogawa Y; Ubagai T; Ishine M; Ito K; Akiyama M
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2006 Apr; 62(4):555-64. PubMed ID: 16639398
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Pulmonary nodule detection in CT images with quantized convergence index filter.
    Matsumoto S; Kundel HL; Gee JC; Gefter WB; Hatabu H
    Med Image Anal; 2006 Jun; 10(3):343-52. PubMed ID: 16542867
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. A method for evaluating the performance of computer-aided detection of pulmonary nodules in lung cancer CT screening: detection limit for nodule size and density.
    Kobayashi H; Ohkubo M; Narita A; Marasinghe JC; Murao K; Matsumoto T; Sone S; Wada S
    Br J Radiol; 2017 Feb; 90(1070):20160313. PubMed ID: 27897029
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements.
    Reeves AP; Biancardi AM; Apanasovich TV; Meyer CR; MacMahon H; van Beek EJ; Kazerooni EA; Yankelevitz D; McNitt-Gray MF; McLennan G; Armato SG; Henschke CI; Aberle DR; Croft BY; Clarke LP
    Acad Radiol; 2007 Dec; 14(12):1475-85. PubMed ID: 18035277
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Lung nodule detection in low-dose and thin-slice computed tomography.
    Retico A; Delogu P; Fantacci ME; Gori I; Preite Martinez A
    Comput Biol Med; 2008 Apr; 38(4):525-34. PubMed ID: 18342844
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Differentiation of lung neoplasms with lepidic growth and good prognosis from those with poor prognosis using computer-aided 3D volumetric CT analysis and FDG-PET.
    Morimoto D; Takashima S; Sakashita N; Sato Y; Jiang B; Hakucho T; Miyake C; Takahashi Y; Tomita Y; Nakanishi K; Hosoki T; Higashiyama M
    Acta Radiol; 2014 Jun; 55(5):563-9. PubMed ID: 24003260
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Benefit of overlapping reconstruction for improving the quantitative assessment of CT lung nodule volume.
    Gavrielides MA; Zeng R; Myers KJ; Sahiner B; Petrick N
    Acad Radiol; 2013 Feb; 20(2):173-80. PubMed ID: 23085408
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.