Robert Nishikawa to Image Interpretation, Computer-Assisted
This is a "connection" page, showing publications Robert Nishikawa has written about Image Interpretation, Computer-Assisted.
Connection Strength
1.343
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CADe for early detection of breast cancer-current status and why we need to continue to explore new approaches. Acad Radiol. 2014 Oct; 21(10):1320-1.
Score: 0.353
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Point/counterpoint: computer-aided detection should be used routinely to assist screening mammogram interpretation. Med Phys. 2012 Sep; 39(9):5305-7.
Score: 0.309
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Current status and future directions of computer-aided diagnosis in mammography. Comput Med Imaging Graph. 2007 Jun-Jul; 31(4-5):224-35.
Score: 0.212
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The hypervolume under the ROC hypersurface of "near-guessing" and "near-perfect" observers in N-class classification tasks. IEEE Trans Med Imaging. 2005 Mar; 24(3):293-9.
Score: 0.184
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Local curvature analysis for classifying breast tumors: Preliminary analysis in dedicated breast CT. Med Phys. 2015 Sep; 42(9):5479-89.
Score: 0.095
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Using breast radiographers' reports as a second opinion for radiologists' readings of microcalcifications in digital mammography. Br J Radiol. 2015 Mar; 88(1047):20140565.
Score: 0.091
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Assessing the stand-alone sensitivity of computer-aided detection with cancer cases from the Digital Mammographic Imaging Screening Trial. AJR Am J Roentgenol. 2012 Sep; 199(3):W392-401.
Score: 0.077
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Image feature analysis and computer-aided diagnosis in mammography: reduction of false-positive clustered microcalcifications using local edge-gradient analysis. Med Phys. 1995 Feb; 22(2):161-9.
Score: 0.023