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Journal Abstract Search

664 related items for PubMed ID: 16087091

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  • 2. Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contrast-enhanced magnetic resonance breast image data.
    Woods BJ, Clymer BD, Kurc T, Heverhagen JT, Stevens R, Orsdemir A, Bulan O, Knopp MV.
    J Magn Reson Imaging; 2007 Mar; 25(3):495-501. PubMed ID: 17279534
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  • 5. Fast 3D Near-infrared breast imaging using indocyanine green for detection and characterization of breast lesions.
    Schneider P, Piper S, Schmitz CH, Schreiter NF, Volkwein N, Lüdemann L, Malzahn U, Poellinger A.
    Rofo; 2011 Oct; 183(10):956-63. PubMed ID: 21972043
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  • 7. [Combination of mammography with automated ultrasound (Sono-X) in routine diagnosis?].
    Richter K, Winzer KJ, Frohberg HD, Guski H, Prihoda H, Schmitt HJ, Hamm B.
    Zentralbl Chir; 1998 Oct; 123 Suppl 5():37-41. PubMed ID: 10063570
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  • 9. Diagnostic architectural and dynamic features at breast MR imaging: multicenter study.
    Schnall MD, Blume J, Bluemke DA, DeAngelis GA, DeBruhl N, Harms S, Heywang-Köbrunner SH, Hylton N, Kuhl CK, Pisano ED, Causer P, Schnitt SJ, Thickman D, Stelling CB, Weatherall PT, Lehman C, Gatsonis CA.
    Radiology; 2006 Jan; 238(1):42-53. PubMed ID: 16373758
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  • 12. Breast MRI lesion classification: improved performance of human readers with a backpropagation neural network computer-aided diagnosis (CAD) system.
    Meinel LA, Stolpen AH, Berbaum KS, Fajardo LL, Reinhardt JM.
    J Magn Reson Imaging; 2007 Jan; 25(1):89-95. PubMed ID: 17154399
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  • 14. Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer.
    Wu Y, Giger ML, Doi K, Vyborny CJ, Schmidt RA, Metz CE.
    Radiology; 1993 Apr; 187(1):81-7. PubMed ID: 8451441
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  • 15. Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions.
    Milenković J, Hertl K, Košir A, Zibert J, Tasič JF.
    Artif Intell Med; 2013 Jun; 58(2):101-14. PubMed ID: 23548472
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  • 16. Computerized analysis of multiple-mammographic views: potential usefulness of special view mammograms in computer-aided diagnosis.
    Huo Z, Giger ML, Vyborny CJ.
    IEEE Trans Med Imaging; 2001 Dec; 20(12):1285-92. PubMed ID: 11811828
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  • 17. Computer-aided classification of BI-RADS category 3 breast lesions.
    Buchbinder SS, Leichter IS, Lederman RB, Novak B, Bamberger PN, Sklair-Levy M, Yarmish G, Fields SI.
    Radiology; 2004 Mar; 230(3):820-3. PubMed ID: 14739315
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  • 18. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
    Chen W, Giger ML, Bick U, Newstead GM.
    Med Phys; 2006 Aug; 33(8):2878-87. PubMed ID: 16964864
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