Robert Nishikawa to Radiographic Image Enhancement
This is a "connection" page, showing publications Robert Nishikawa has written about Radiographic Image Enhancement.
Connection Strength
3.133
-
Locally adaptive decision in detection of clustered microcalcifications in mammograms. Phys Med Biol. 2018 02 15; 63(4):045014.
Score: 0.532
-
A comparison study of image features between FFDM and film mammogram images. Med Phys. 2012 Jul; 39(7):4386-94.
Score: 0.360
-
Comparison of power spectra for tomosynthesis projections and reconstructed images. Med Phys. 2009 May; 36(5):1753-8.
Score: 0.289
-
Comparison of soft-copy and hard-copy reading for full-field digital mammography. Radiology. 2009 Apr; 251(1):41-9.
Score: 0.288
-
A support vector machine approach for detection of microcalcifications. IEEE Trans Med Imaging. 2002 Dec; 21(12):1552-63.
Score: 0.186
-
Computerized detection of clustered microcalcifications: evaluation of performance on mammograms from multiple centers. Radiographics. 1995 Mar; 15(2):443-52.
Score: 0.108
-
Clinical use of digital mammography: the present and the prospects. J Digit Imaging. 1995 Feb; 8(1 Suppl 1):74-9.
Score: 0.108
-
Stereoscopic digital mammography: improved specificity and reduced rate of recall in a prospective clinical trial. Radiology. 2013 Jan; 266(1):81-8.
Score: 0.092
-
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: 0.091
-
Retrieval boosted computer-aided diagnosis of clustered microcalcifications for breast cancer. Med Phys. 2012 Feb; 39(2):676-85.
Score: 0.088
-
Evaluation of imaging properties of a laser film digitizer. Phys Med Biol. 1992 Jan; 37(1):273-80.
Score: 0.087
-
Automated detection of microcalcification clusters for digital breast tomosynthesis using projection data only: a preliminary study. Med Phys. 2008 Apr; 35(4):1486-93.
Score: 0.067
-
Scanned-projection digital mammography. Med Phys. 1987 Sep-Oct; 14(5):717-27.
Score: 0.064
-
Independent evaluation of computer classification of malignant and benign calcifications in full-field digital mammograms. Acad Radiol. 2007 Mar; 14(3):363-70.
Score: 0.062
-
Computerized mass detection for digital breast tomosynthesis directly from the projection images. Med Phys. 2006 Feb; 33(2):482-91.
Score: 0.058
-
Relevance vector machine for automatic detection of clustered microcalcifications. IEEE Trans Med Imaging. 2005 Oct; 24(10):1278-85.
Score: 0.056
-
Signal-to-noise properties of mammographic film-screen systems. Med Phys. 1985 Jan-Feb; 12(1):32-9.
Score: 0.054
-
A similarity learning approach to content-based image retrieval: application to digital mammography. IEEE Trans Med Imaging. 2004 Oct; 23(10):1233-44.
Score: 0.053
-
Investigation of physical image quality indices of a bone densitometry system. Med Phys. 2004 Apr; 31(4):873-81.
Score: 0.051
-
The use of a priori information in the detection of mammographic microcalcifications to improve their classification. Med Phys. 2003 May; 30(5):823-31.
Score: 0.048
-
Radiologists' preferences for digital mammographic display. The International Digital Mammography Development Group. Radiology. 2000 Sep; 216(3):820-30.
Score: 0.040
-
Computer-aided diagnosis complements full-field digital mammography. Diagn Imaging (San Franc). 1999 Sep; 21(9):47-51, 75.
Score: 0.037
-
Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms. Med Phys. 1998 Jun; 25(6):949-56.
Score: 0.034
-
Quantitative comparison of clustered microcalcifications in for-presentation and for-processing mammograms in full-field digital mammography. Med Phys. 2017 Jul; 44(7):3726-3738.
Score: 0.032
-
Density correction of peripheral breast tissue on digital mammograms. Radiographics. 1996 Nov; 16(6):1403-11.
Score: 0.030
-
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: 0.030
-
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: 0.029
-
Potential usefulness of digital imaging in clinical diagnostic radiology: computer-aided diagnosis. J Digit Imaging. 1995 Feb; 8(1 Suppl 1):2-7.
Score: 0.027
-
Development of a digital duplication system for portable chest radiographs. J Digit Imaging. 1994 Aug; 7(3):146-53.
Score: 0.026
-
Digital radiography. A useful clinical tool for computer-aided diagnosis by quantitative analysis of radiographic images. Acta Radiol. 1993 Sep; 34(5):426-39.
Score: 0.024
-
Automated detection of mass lesions in dedicated breast CT: a preliminary study. Med Phys. 2012 Feb; 39(2):866-73.
Score: 0.022
-
A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications. IEEE Trans Med Imaging. 2005 Mar; 24(3):371-80.
Score: 0.014
-
Dependence of computer classification of clustered microcalcifications on the correct detection of microcalcifications. Med Phys. 2001 Sep; 28(9):1949-57.
Score: 0.011
-
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: 0.009
-
Toward consensus on quantitative assessment of medical imaging systems. Med Phys. 1995 Jul; 22(7):1057-61.
Score: 0.007
-
Automated segmentation of digitized mammograms. Acad Radiol. 1995 Jan; 2(1):1-9.
Score: 0.007
-
Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network. Med Phys. 1994 Apr; 21(4):517-24.
Score: 0.006
-
An "intelligent" workstation for computer-aided diagnosis. Radiographics. 1993 May; 13(3):647-56.
Score: 0.006