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 *

113 related articles for article (PubMed ID: 12945920)

  • 21. Detection of pulmonary nodules with helical CT: comparison of cine and film-based viewing.
    Tillich M; Kammerhuber F; Reittner P; Riepl T; Stoeffler G; Szolar DH
    AJR Am J Roentgenol; 1997 Dec; 169(6):1611-4. PubMed ID: 9393175
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Inter-observer variations of digital radiograph pulmonary nodule marking by using computer toolkit.
    Song W; Xu Y; Xie YM; Fan L; Qian JZ; Jin ZY
    Chin Med Sci J; 2007 Mar; 22(1):1-4. PubMed ID: 17441308
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Searching for lung nodules. Visual dwell indicates locations of false-positive and false-negative decisions.
    Kundel HL; Nodine CF; Krupinski EA
    Invest Radiol; 1989 Jun; 24(6):472-8. PubMed ID: 2521130
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Detection of small pulmonary nodules using direct digital radiography and picture archiving and communication systems.
    Wu N; Gamsu G; Czum J; Held B; Thakur R; Nicola G
    J Thorac Imaging; 2006 Mar; 21(1):27-31. PubMed ID: 16538152
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Characterizing search, recognition, and decision in the detection of lung nodules on CT scans: elucidation with eye tracking.
    Rubin GD; Roos JE; Tall M; Harrawood B; Bag S; Ly DL; Seaman DM; Hurwitz LM; Napel S; Roy Choudhury K
    Radiology; 2015 Jan; 274(1):276-86. PubMed ID: 25325324
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Computer-aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone-suppressed images.
    Schalekamp S; van Ginneken B; Koedam E; Snoeren MM; Tiehuis AM; Wittenberg R; Karssemeijer N; Schaefer-Prokop CM
    Radiology; 2014 Jul; 272(1):252-61. PubMed ID: 24635675
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Computer-aided lung nodule detection in CT: results of large-scale observer test.
    Brown MS; Goldin JG; Rogers S; Kim HJ; Suh RD; McNitt-Gray MF; Shah SK; Truong D; Brown K; Sayre JW; Gjertson DW; Batra P; Aberle DR
    Acad Radiol; 2005 Jun; 12(6):681-6. PubMed ID: 15935966
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Computerized search of chest radiographs for nodules.
    Lampeter WA; Wandtke JC
    Invest Radiol; 1986 May; 21(5):384-90. PubMed ID: 3519523
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The advantage of digital tomosynthesis for pulmonary nodule detection concerning influence of nodule location and size: a phantom study.
    Kim EY; Bista AB; Kim T; Park SY; Park KJ; Kang DK; Sun JS
    Clin Radiol; 2017 Sep; 72(9):796.e1-796.e8. PubMed ID: 28454640
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Evaluation of a real-time interactive pulmonary nodule analysis system on chest digital radiographic images: a prospective study.
    van Beek EJ; Mullan B; Thompson B
    Acad Radiol; 2008 May; 15(5):571-5. PubMed ID: 18423313
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance.
    Awai K; Murao K; Ozawa A; Komi M; Hayakawa H; Hori S; Nishimura Y
    Radiology; 2004 Feb; 230(2):347-52. PubMed ID: 14752180
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Small low-risk pulmonary nodules on chest digital radiography: can we predict whether the nodule is benign?
    Missrie I; Hochhegger B; Zanon M; Capobianco J; César de Macedo Neto A; Maciel RP; Antunes VB; de Figueiredo CM; Szarf G; Meirelles G
    Clin Radiol; 2018 Oct; 73(10):902-906. PubMed ID: 29980325
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Computer-aided detection of pulmonary nodules: influence of nodule characteristics on detection performance.
    Marten K; Engelke C; Seyfarth T; Grillhösl A; Obenauer S; Rummeny EJ
    Clin Radiol; 2005 Feb; 60(2):196-206. PubMed ID: 15664574
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Performance of radiologists in detection of small pulmonary nodules on chest radiographs: effect of rib suppression with a massive-training artificial neural network.
    Oda S; Awai K; Suzuki K; Yanaga Y; Funama Y; MacMahon H; Yamashita Y
    AJR Am J Roentgenol; 2009 Nov; 193(5):W397-402. PubMed ID: 19843717
    [TBL] [Abstract][Full Text] [Related]  

  • 35. [Comparison of digital radiography and conventional X-ray in the diagnosis of solitary pulmonary nodule with receiver operating characteristic analysis].
    Duan G; Chen WG; Wang JY; Huang XH; Wang Y; Lu W
    Di Yi Jun Yi Da Xue Xue Bao; 2003 Jun; 23(6):621-3. PubMed ID: 12810395
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Computer-aided diagnosis of pulmonary nodules: results of a large-scale observer test.
    MacMahon H; Engelmann R; Behlen FM; Hoffmann KR; Ishida T; Roe C; Metz CE; Doi K
    Radiology; 1999 Dec; 213(3):723-6. PubMed ID: 10580945
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Comparison of dual-energy subtraction and electronic bone suppression combined with computer-aided detection on chest radiographs: effect on human observers' performance in nodule detection.
    Szucs-Farkas Z; Schick A; Cullmann JL; Ebner L; Megyeri B; Vock P; Christe A
    AJR Am J Roentgenol; 2013 May; 200(5):1006-13. PubMed ID: 23617482
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Evaluation of lung MDCT nodule annotation across radiologists and methods.
    Meyer CR; Johnson TD; McLennan G; Aberle DR; Kazerooni EA; Macmahon H; Mullan BF; Yankelevitz DF; van Beek EJ; Armato SG; McNitt-Gray MF; Reeves AP; Gur D; Henschke CI; Hoffman EA; Bland PH; Laderach G; Pais R; Qing D; Piker C; Guo J; Starkey A; Max D; Croft BY; Clarke LP
    Acad Radiol; 2006 Oct; 13(10):1254-65. PubMed ID: 16979075
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Visual skill: correlation with detection of solitary pulmonary nodules.
    Good BC; Cooperstein LA
    Invest Radiol; 1991 Jun; 26(6):624-5. PubMed ID: 1860773
    [No Abstract]   [Full Text] [Related]  

  • 40. Influence of slice thickness on diagnoses of pulmonary nodules using low-dose CT: potential dependence of detection and diagnostic agreement on features and location of nodule.
    Sinsuat M; Saita S; Kawata Y; Niki N; Ohmatsu H; Tsuchida T; Kakinuma R; Kusumoto M; Eguchi K; Kaneko M; Morikubo H; Moriyama N
    Acad Radiol; 2011 May; 18(5):594-604. PubMed ID: 21377905
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.