BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 22763504)

  • 1. Improved detection of focal pneumonia by chest radiography with bone suppression imaging.
    Li F; Engelmann R; Pesce L; Armato SG; Macmahon H
    Eur Radiol; 2012 Dec; 22(12):2729-35. PubMed ID: 22763504
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Small lung cancers: improved detection by use of bone suppression imaging--comparison with dual-energy subtraction chest radiography.
    Li F; Engelmann R; Pesce LL; Doi K; Metz CE; Macmahon H
    Radiology; 2011 Dec; 261(3):937-49. PubMed ID: 21946054
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Added Value of Bone Suppression Image in the Detection of Subtle Lung Lesions on Chest Radiographs with Regard to Reader's Expertise.
    Hong GS; Do KH; Lee CW
    J Korean Med Sci; 2019 Oct; 34(38):e250. PubMed ID: 31583870
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Effectiveness of bone suppression imaging in the diagnosis of tuberculosis from chest radiographs in Vietnam: An observer study.
    Kodama N; Loc TV; Hai PT; Cong NV; Katsuhara S; Kasai S; Sheikh A
    Clin Imaging; 2018; 51():196-201. PubMed ID: 29860192
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bone suppression increases the visibility of invasive pulmonary aspergillosis in chest radiographs.
    Schalekamp S; van Ginneken B; van den Berk IA; Hartmann IJ; Snoeren MM; Odink AE; van Lankeren W; Pegge SA; Schijf LJ; Karssemeijer N; Schaefer-Prokop CM
    PLoS One; 2014; 9(10):e108551. PubMed ID: 25279774
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improved detection of small lung cancers with dual-energy subtraction chest radiography.
    Li F; Engelmann R; Doi K; MacMahon H
    AJR Am J Roentgenol; 2008 Apr; 190(4):886-91. PubMed ID: 18356433
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detectability of pulmonary nodules on chest radiographs: bone suppression versus standard technique with single versus dual monitors for visualization.
    Endo K; Kaneko A; Horiuchi Y; Kasuga N; Ishizaki U; Sakai S
    Jpn J Radiol; 2020 Jul; 38(7):676-682. PubMed ID: 32198572
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.
    Rajpurkar P; Irvin J; Ball RL; Zhu K; Yang B; Mehta H; Duan T; Ding D; Bagul A; Langlotz CP; Patel BN; Yeom KW; Shpanskaya K; Blankenberg FG; Seekins J; Amrhein TJ; Mong DA; Halabi SS; Zucker EJ; Ng AY; Lungren MP
    PLoS Med; 2018 Nov; 15(11):e1002686. PubMed ID: 30457988
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Improved accuracy of markerless motion tracking on bone suppression images: preliminary study for image-guided radiation therapy (IGRT).
    Tanaka R; Sanada S; Sakuta K; Kawashima H
    Phys Med Biol; 2015 May; 60(10):N209-18. PubMed ID: 26153580
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Value of bone suppression software in chest radiographs for improving image quality and reducing radiation dose.
    Hong GS; Do KH; Son AY; Jo KW; Kim KP; Yun J; Lee CW
    Eur Radiol; 2021 Jul; 31(7):5160-5171. PubMed ID: 33439320
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Temporal subtraction for the detection of hazy pulmonary opacities on chest radiography.
    Tsubamoto M; Johkoh T; Kozuka T; Tomiyama N; Hamada S; Honda O; Mihara N; Koyama M; Maeda M; Nakamura H; Fujiwara K
    AJR Am J Roentgenol; 2002 Aug; 179(2):467-71. PubMed ID: 12130454
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effect of temporal subtraction technique on interpretation time and diagnostic accuracy of chest radiography.
    Kakeda S; Kamada K; Hatakeyama Y; Aoki T; Korogi Y; Katsuragawa S; Doi K
    AJR Am J Roentgenol; 2006 Nov; 187(5):1253-9. PubMed ID: 17056913
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists.
    Rueckel J; Kunz WG; Hoppe BF; Patzig M; Notohamiprodjo M; Meinel FG; Cyran CC; Ingrisch M; Ricke J; Sabel BO
    Crit Care Med; 2020 Jul; 48(7):e574-e583. PubMed ID: 32433121
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.