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Journal Abstract Search

103 related items for PubMed ID: 21099177

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  • 2. [Performance assessment of mammographic diagnostic systems: evolution of methods and their application to a digital image study].
    Compagnone G, Ferruzzi K, Pierotti L, Vianello Vos C, Berardi P, Bergamini C.
    Radiol Med; 1999 Mar; 97(3):179-87. PubMed ID: 10363062
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  • 3. Microcalcification detectability for four mammographic detectors: flat-panel, CCD, CR, and screen/film).
    Rong XJ, Shaw CC, Johnston DA, Lemacks MR, Liu X, Whitman GJ, Dryden MJ, Stephens TW, Thompson SK, Krugh KT, Lai CJ.
    Med Phys; 2002 Sep; 29(9):2052-61. PubMed ID: 12349926
    [Abstract] [Full Text] [Related]

  • 4. Visual-search observers for assessing tomographic x-ray image quality.
    Gifford HC, Liang Z, Das M.
    Med Phys; 2016 Mar; 43(3):1563-75. PubMed ID: 26936739
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  • 5. Relationship between image information content and observer performance in digital intraoral radiography.
    Takarabe S, Okamura K, Kuramoto T, Tokumori K, Kato T, Yoshiura K.
    Oral Radiol; 2023 Jul; 39(3):491-503. PubMed ID: 36289169
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  • 6. Is an ROC-type response truly always better than a binary response in observer performance studies?
    Gur D, Bandos AI, Rockette HE, Zuley ML, Hakim CM, Chough DM, Ganott MA, Sumkin JH.
    Acad Radiol; 2010 May; 17(5):639-45. PubMed ID: 20236840
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  • 8. [Diagnostic detection performance of a simulated nodule in chest computed tomography images and gray and color nuclear medicine images: comparison between a medical liquid crystal display monitor and an ordinary liquid crystal display monitor].
    Okumura E, Kamimae R, Miyashita K, Ueda R, Kanmae Y, Kubo M, Shirasaka N, Takeda T, Hashimoto N.
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2014 Aug; 70(8):757-67. PubMed ID: 25142386
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  • 9. Effects of radiographic techniques on the low-contrast detail detectability performance of digital radiography systems.
    Alsleem H, U P, Mong KS, Davidson R.
    Radiol Technol; 2014 Aug; 85(6):614-22. PubMed ID: 25002641
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  • 11. [Chest radiography: ROC phantom study of four different digital systems and one conventional radiographic system].
    Redlich U, Reissberg S, Hoeschen C, Effenberger O, Fessel A, Preuss H, Scherlach C, Döhring W.
    Rofo; 2003 Jan; 175(1):38-45. PubMed ID: 12525979
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  • 12. Assessing image quality and dose reduction of a new x-ray computed tomography iterative reconstruction algorithm using model observers.
    Tseng HW, Fan J, Kupinski MA, Sainath P, Hsieh J.
    Med Phys; 2014 Jul; 41(7):071910. PubMed ID: 24989388
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  • 17. An anthropomorphic phantom for receiver operating characteristic studies in CT imaging of liver lesions.
    Olerud HM, Olsen JB, Skretting A.
    Br J Radiol; 1999 Jan; 72(853):35-43. PubMed ID: 10341687
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  • 18. Improvement of low-contrast detectability in low-dose hepatic multidetector computed tomography using a novel adaptive filter: evaluation with a computer-simulated liver including tumors.
    Funama Y, Awai K, Miyazaki O, Nakayama Y, Goto T, Omi Y, Shimonobo T, Liu D, Yamashita Y, Hori S.
    Invest Radiol; 2006 Jan; 41(1):1-7. PubMed ID: 16355033
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