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Journal Abstract Search

1255 related items for PubMed ID: 17697569

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  • 3. Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy.
    Li F, Aoyama M, Shiraishi J, Abe H, Li Q, Suzuki K, Engelmann R, Sone S, Macmahon H, Doi K.
    AJR Am J Roentgenol; 2004 Nov; 183(5):1209-15. PubMed ID: 15505279
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  • 5. Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network.
    Suzuki K, Li F, Sone S, Doi K.
    IEEE Trans Med Imaging; 2005 Sep; 24(9):1138-50. PubMed ID: 16156352
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  • 7. Estimation of malignancy of pulmonary nodules at CT scans: Effect of computer-aided diagnosis on diagnostic performance of radiologists.
    Liu J, Zhao L, Han X, Ji H, Liu L, He W.
    Asia Pac J Clin Oncol; 2021 Jun; 17(3):216-221. PubMed ID: 32757455
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  • 8. Solitary pulmonary nodule diagnosis on CT: results of an observer study.
    Shah SK, McNitt-Gray MF, De Zoysa KR, Sayre JW, Kim HJ, Batra P, Behrashi A, Brown K, Greaser LE, Park JM, Roback DK, Wu C, Zaragoza E, Goldin JG, Suh RD, Brown MS, Aberle DR.
    Acad Radiol; 2005 Apr; 12(4):496-501. PubMed ID: 15831424
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  • 10. 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
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  • 11. Computer-aided detection (CAD) in lung cancer screening at chest MDCT: ROC analysis of CAD versus radiologist performance.
    Fraioli F, Bertoletti L, Napoli A, Pediconi F, Calabrese FA, Masciangelo R, Catalano C, Passariello R.
    J Thorac Imaging; 2007 Aug; 22(3):241-6. PubMed ID: 17721333
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  • 13. JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function.
    Lo SB, Freedman MT, Gillis LB, White CS, Mun SK.
    AJR Am J Roentgenol; 2018 Mar; 210(3):480-488. PubMed ID: 29336601
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  • 14. 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
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  • 15. Efficacy of computer-aided detection system and thin-slab maximum intensity projection technique in the detection of pulmonary nodules in patients with resected metastases.
    Park EA, Goo JM, Lee JW, Kang CH, Lee HJ, Lee CH, Park CM, Lee HY, Im JG.
    Invest Radiol; 2009 Feb; 44(2):105-13. PubMed ID: 19034026
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  • 17. 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
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  • 18. Computer-aided diagnosis of the solitary pulmonary nodule.
    Shah SK, McNitt-Gray MF, Rogers SR, Goldin JG, Suh RD, Sayre JW, Petkovska I, Kim HJ, Aberle DR.
    Acad Radiol; 2005 May; 12(5):570-5. PubMed ID: 15866129
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