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Journal Abstract Search

111 related items for PubMed ID: 18085401

  • 1. Postprocessing technique with MDCT data improves the accuracy of the detection of lung nodules.
    Yoneda K, Ueno J, Nishihara S, Tsujikawa T, Morita N, Otsuka H, Furutani K, Nishitani H, Kondo K, Nishioka Y.
    Radiat Med; 2007 Dec; 25(10):511-5. PubMed ID: 18085401
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  • 2. Effect of slab thickness on the CT detection of pulmonary nodules: use of sliding thin-slab maximum intensity projection and volume rendering.
    Kawel N, Seifert B, Luetolf M, Boehm T.
    AJR Am J Roentgenol; 2009 May; 192(5):1324-9. PubMed ID: 19380557
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  • 4. Pulmonary nodules: sensitivity of maximum intensity projection versus that of volume rendering of 3D multidetector CT data.
    Peloschek P, Sailer J, Weber M, Herold CJ, Prokop M, Schaefer-Prokop C.
    Radiology; 2007 May; 243(2):561-9. PubMed ID: 17456878
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  • 7. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy.
    Hirose T, Nitta N, Shiraishi J, Nagatani Y, Takahashi M, Murata K.
    Acad Radiol; 2008 Dec; 15(12):1505-12. PubMed ID: 19000867
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  • 8. Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.
    Zheng S, Guo J, Cui X, Veldhuis RNJ, Oudkerk M, van Ooijen PMA.
    IEEE Trans Med Imaging; 2020 Mar; 39(3):797-805. PubMed ID: 31425026
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  • 9. Effect of Slab Thickness on the Detection of Pulmonary Nodules by Use of CT Maximum and Minimum Intensity Projection.
    Li WJ, Chu ZG, Zhang Y, Li Q, Zheng YN, Lv FJ.
    AJR Am J Roentgenol; 2019 Sep; 213(3):562-567. PubMed ID: 31063429
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  • 14. 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 20; 120(14):1211-5. PubMed ID: 17697569
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  • 15. Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT.
    Robins M, Solomon J, Sahbaee P, Sedlmair M, Roy Choudhury K, Pezeshk A, Sahiner B, Samei E.
    Phys Med Biol; 2017 Aug 22; 62(18):7280-7299. PubMed ID: 28786399
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  • 18. Detection of pulmonary nodules by multislice computed tomography: improved detection rate with reduced slice thickness.
    Fischbach F, Knollmann F, Griesshaber V, Freund T, Akkol E, Felix R.
    Eur Radiol; 2003 Oct 22; 13(10):2378-83. PubMed ID: 12743736
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  • 19. Multi slice computed tomography in the study of pulmonary metastases.
    Angelelli G, Grimaldi V, Spinelli F, Scardapane A, Sardaro A.
    Radiol Med; 2008 Oct 22; 113(7):954-67. PubMed ID: 18779932
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  • 20. Incremental benefit of maximum-intensity-projection images on observer detection of small pulmonary nodules revealed by multidetector CT.
    Gruden JF, Ouanounou S, Tigges S, Norris SD, Klausner TS.
    AJR Am J Roentgenol; 2002 Jul 22; 179(1):149-57. PubMed ID: 12076925
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