BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

370 related articles for article (PubMed ID: 19843717)

  • 1. 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]  

  • 2. 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]  

  • 3. Improved detection of subtle lung nodules by use of chest radiographs with bone suppression imaging: receiver operating characteristic analysis with and without localization.
    Li F; Hara T; Shiraishi J; Engelmann R; MacMahon H; Doi K
    AJR Am J Roentgenol; 2011 May; 196(5):W535-41. PubMed ID: 21512042
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN).
    Suzuki K; Abe H; MacMahon H; Doi K
    IEEE Trans Med Imaging; 2006 Apr; 25(4):406-16. PubMed ID: 16608057
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system.
    Kakeda S; Moriya J; Sato H; Aoki T; Watanabe H; Nakata H; Oda N; Katsuragawa S; Yamamoto K; Doi K
    AJR Am J Roentgenol; 2004 Feb; 182(2):505-10. PubMed ID: 14736690
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Usefulness of an artificial neural network for differentiating benign from malignant pulmonary nodules on high-resolution CT: evaluation with receiver operating characteristic analysis.
    Matsuki Y; Nakamura K; Watanabe H; Aoki T; Nakata H; Katsuragawa S; Doi K
    AJR Am J Roentgenol; 2002 Mar; 178(3):657-63. PubMed ID: 11856693
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs.
    Schalekamp S; van Ginneken B; Meiss L; Peters-Bax L; Quekel LG; Snoeren MM; Tiehuis AM; Wittenberg R; Karssemeijer N; Schaefer-Prokop CM
    Eur J Radiol; 2013 Dec; 82(12):2399-405. PubMed ID: 24113431
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detection of small pulmonary nodules on chest radiographs: efficacy of dual-energy subtraction technique using flat-panel detector chest radiography.
    Oda S; Awai K; Funama Y; Utsunomiya D; Yanaga Y; Kawanaka K; Nakaura T; Hirai T; Murakami R; Nomori H; Yamashita Y
    Clin Radiol; 2010 Aug; 65(8):609-15. PubMed ID: 20599062
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules.
    Shiraishi J; Katsuragawa S; Ikezoe J; Matsumoto T; Kobayashi T; Komatsu K; Matsui M; Fujita H; Kodera Y; Doi K
    AJR Am J Roentgenol; 2000 Jan; 174(1):71-4. PubMed ID: 10628457
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performance.
    Shiraishi J; Abe H; Li F; Engelmann R; MacMahon H; Doi K
    Acad Radiol; 2006 Aug; 13(8):995-1003. PubMed ID: 16843852
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Neural network-based computer-aided diagnosis in distinguishing malignant from benign solitary pulmonary nodules by computed tomography.
    Chen H; Wang XH; Ma DQ; Ma BR
    Chin Med J (Engl); 2007 Jul; 120(14):1211-5. PubMed ID: 17697569
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Neural network ensemble-based computer-aided diagnosis for differentiation of lung nodules on CT images: clinical evaluation.
    Chen H; Xu Y; Ma Y; Ma B
    Acad Radiol; 2010 May; 17(5):595-602. PubMed ID: 20167513
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Detection of lung nodules on digital chest radiographs: potential usefulness of a new contralateral subtraction technique.
    Tsukuda S; Heshiki A; Katsuragawa S; Li Q; MacMahon H; Doi K
    Radiology; 2002 Apr; 223(1):199-203. PubMed ID: 11930067
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience.
    Shiraishi J; Abe H; Engelmann R; Aoyama M; MacMahon H; Doi K
    Radiology; 2003 May; 227(2):469-74. PubMed ID: 12732700
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [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]  

  • 20. Usefulness of computer-aided diagnosis schemes for vertebral fractures and lung nodules on chest radiographs.
    Kasai S; Li F; Shiraishi J; Doi K
    AJR Am J Roentgenol; 2008 Jul; 191(1):260-5. PubMed ID: 18562756
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.