Kunio Doi to Mammography
This is a "connection" page, showing publications Kunio Doi has written about Mammography.
Connection Strength
5.158
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Usefulness of presentation of similar images in the diagnosis of breast masses on mammograms: comparison of observer performances in Japan and the USA. Radiol Phys Technol. 2013 Jan; 6(1):70-7.
Score: 0.342
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Evaluation of objective similarity measures for selecting similar images of mammographic lesions. J Digit Imaging. 2011 Feb; 24(1):75-85.
Score: 0.307
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Potential usefulness of similar images in the differential diagnosis of clustered microcalcifications on mammograms. Radiology. 2009 Dec; 253(3):625-31.
Score: 0.280
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Determination of similarity measures for pairs of mass lesions on mammograms by use of BI-RADS lesion descriptors and image features. Acad Radiol. 2009 Apr; 16(4):443-9.
Score: 0.271
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Observer study for evaluating potential utility of a super-high-resolution LCD in the detection of clustered microcalcifications on digital mammograms. J Digit Imaging. 2010 Apr; 23(2):161-9.
Score: 0.270
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Investigation of psychophysical similarity measures for selection of similar images in the diagnosis of clustered microcalcifications on mammograms. Med Phys. 2008 Dec; 35(12):5695-702.
Score: 0.265
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An improved computer-aided diagnosis scheme using the nearest neighbor criterion for determining histological classification of clustered microcalcifications. Methods Inf Med. 2007; 46(6):716-22.
Score: 0.232
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Computer-aided diagnosis scheme for identifying histological classification of clustered microcalcifications by use of follow-up magnification mammograms. Acad Radiol. 2006 Oct; 13(10):1219-28.
Score: 0.228
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Experimental determination of subjective similarity for pairs of clustered microcalcifications on mammograms: observer study results. Med Phys. 2006 Sep; 33(9):3460-8.
Score: 0.226
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Investigation of psychophysical measure for evaluation of similar images for mammographic masses: preliminary results. Med Phys. 2005 Jul; 32(7):2295-304.
Score: 0.209
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Computer-aided diagnosis scheme for histological classification of clustered microcalcifications on magnification mammograms. Med Phys. 2004 Apr; 31(4):789-99.
Score: 0.191
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Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications. Radiology. 2001 Sep; 220(3):787-94.
Score: 0.160
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Computer-aided diagnosis in radiology: potential and pitfalls. Eur J Radiol. 1999 Aug; 31(2):97-109.
Score: 0.139
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Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol. 1999 Jan; 6(1):22-33.
Score: 0.133
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A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms. Med Phys. 1998 Sep; 25(9):1613-20.
Score: 0.130
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Analysis of methods for reducing false positives in the automated detection of clustered microcalcifications in mammograms. Med Phys. 1998 Aug; 25(8):1502-6.
Score: 0.129
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Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms. Med Phys. 1998 Jun; 25(6):949-56.
Score: 0.128
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Automated computerized classification of malignant and benign masses on digitized mammograms. Acad Radiol. 1998 Mar; 5(3):155-68.
Score: 0.126
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Density correction of peripheral breast tissue on digital mammograms. Radiographics. 1996 Nov; 16(6):1403-11.
Score: 0.114
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Malignant and benign clustered microcalcifications: automated feature analysis and classification. Radiology. 1996 Mar; 198(3):671-8.
Score: 0.109
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Automated segmentation of digitized mammograms. Acad Radiol. 1995 Jan; 2(1):1-9.
Score: 0.101
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Representation of lesion similarity by use of multidimensional scaling for breast masses on mammograms. J Digit Imaging. 2013 Aug; 26(4):740-7.
Score: 0.091
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Computer-aided diagnosis: development of automated schemes for quantitative analysis of radiographic images. Semin Ultrasound CT MR. 1992 Apr; 13(2):140-52.
Score: 0.083
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[Science of similar images: quantitative evaluation on the similarity of images to be used in the next generation CAD]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2011; 67(4):400-12.
Score: 0.076
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Presentation of similar images as a reference for distinction between benign and malignant masses on mammograms: analysis of initial observer study. J Digit Imaging. 2010 Oct; 23(5):592-602.
Score: 0.071
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An investigation of radiologists' perception of lesion similarity: observations with paired breast masses on mammograms and paired lung nodules on CT images. Acad Radiol. 2008 Jul; 15(7):887-94.
Score: 0.064
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Usefulness of texture analysis for computerized classification of breast lesions on mammograms. J Digit Imaging. 2007 Sep; 20(3):248-55.
Score: 0.061
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Determination of subjective similarity for pairs of masses and pairs of clustered microcalcifications on mammograms: comparison of similarity ranking scores and absolute similarity ratings. Med Phys. 2007 Jul; 34(7):2890-5.
Score: 0.060
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Monte Carlo simulation studies of backscatter factors in mammography. Radiology. 1981 Apr; 139(1):195-9.
Score: 0.039
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Evaluation of absorbed dose in mammography: monte carlo simulation studies. Radiology. 1980 Apr; 135(1):199-208.
Score: 0.036
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An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms. Acad Radiol. 1996 Aug; 3(8):621-7.
Score: 0.028
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An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms. Med Phys. 1996 Apr; 23(4):595-601.
Score: 0.027
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Computer-aided detection of clustered microcalcifications on digital mammograms. Med Biol Eng Comput. 1995 Mar; 33(2):174-8.
Score: 0.025
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Computerized detection of clustered microcalcifications: evaluation of performance on mammograms from multiple centers. Radiographics. 1995 Mar; 15(2):443-52.
Score: 0.025
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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: 0.025
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Potential usefulness of digital imaging in clinical diagnostic radiology: computer-aided diagnosis. J Digit Imaging. 1995 Feb; 8(1 Suppl 1):2-7.
Score: 0.025
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Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network. Med Phys. 1994 Apr; 21(4):517-24.
Score: 0.024
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Computerized detection of masses in digital mammograms: automated alignment of breast images and its effect on bilateral-subtraction technique. Med Phys. 1994 Mar; 21(3):445-52.
Score: 0.024
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Computerized detection of masses in digital mammograms: investigation of feature-analysis techniques. J Digit Imaging. 1994 Feb; 7(1):18-26.
Score: 0.024
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Effect of case selection on the performance of computer-aided detection schemes. Med Phys. 1994 Feb; 21(2):265-9.
Score: 0.024
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Computer-aided detection of clustered microcalcifications: an improved method for grouping detected signals. Med Phys. 1993 Nov-Dec; 20(6):1661-6.
Score: 0.023
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Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses. Invest Radiol. 1993 Jun; 28(6):473-81.
Score: 0.023
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Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Radiology. 1993 Apr; 187(1):81-7.
Score: 0.022
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Computerized detection of clustered microcalcifications in digital mammograms: applications of artificial neural networks. Med Phys. 1992 May-Jun; 19(3):555-60.
Score: 0.021
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Computerized detection of masses in digital mammograms: analysis of bilateral subtraction images. Med Phys. 1991 Sep-Oct; 18(5):955-63.
Score: 0.020
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Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis. Invest Radiol. 1990 Oct; 25(10):1102-10.
Score: 0.019
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Computer-aided diagnosis in chest radiology. J Thorac Imaging. 1990 Jan; 5(1):67-76.
Score: 0.018
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Computer-aided detection of microcalcifications in mammograms. Methodology and preliminary clinical study. Invest Radiol. 1988 Sep; 23(9):664-71.
Score: 0.016
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Image feature analysis and computer-aided diagnosis in digital radiography. I. Automated detection of microcalcifications in mammography. Med Phys. 1987 Jul-Aug; 14(4):538-48.
Score: 0.015
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Ultra-high-strip-density radiographic grids: a new antiscatter technique for mammography. Radiology. 1985 Mar; 154(3):807-15.
Score: 0.013
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Experimental and theoretical energy and angular dependencies of scattered radiation in the mammography energy range. Med Phys. 1983 Sep-Oct; 10(5):664-8.
Score: 0.011
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Magnification film mammography: image quality and clinical studies. Radiology. 1977 Oct; 125(1):69-76.
Score: 0.008
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Image quality in mammography. Radiology. 1977 Oct; 125(1):77-85.
Score: 0.008
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Determination of X-ray spectra incident on and transmitted through breast tissue. Radiology. 1977 Aug; 124(2):511-3.
Score: 0.008
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An "intelligent" workstation for computer-aided diagnosis. Radiographics. 1993 May; 13(3):647-56.
Score: 0.006
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Digital mammography. ROC studies of the effects of pixel size and unsharp-mask filtering on the detection of subtle microcalcifications. Invest Radiol. 1987 Jul; 22(7):581-9.
Score: 0.004
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The effect of geometric and recording system unsharpness in mammography. Invest Radiol. 1975 Jan-Feb; 10(1):43-52.
Score: 0.002