Junji Shiraishi to Observer Variation
This is a "connection" page, showing publications Junji Shiraishi has written about Observer Variation.
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0.800
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[Image Evaluation with Paired Comparison Method Using Automatic Analysis Software: Comparison of CT Images with Simulated Levels of Exposure Dose]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2019; 75(1):32-39.
Score: 0.130
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[Development of a computer-aided diagnosis system for the distinction between benign and malignant gastric lesions]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2012; 68(11):1474-85.
Score: 0.080
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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: 0.066
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[A test method for assessing statistical significance for differences between modalities using multi-reader multi-case ROC analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2007 Oct 20; 63(10):1200-7.
Score: 0.060
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Usefulness of temporal subtraction images for identification of interval changes in successive whole-body bone scans: JAFROC analysis of radiologists' performance. Acad Radiol. 2007 Aug; 14(8):959-66.
Score: 0.059
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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: 0.055
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Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performance. Acad Radiol. 2006 Aug; 13(8):995-1003.
Score: 0.055
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Effect of high sensitivity in a computerized scheme for detecting extremely subtle solitary pulmonary nodules in chest radiographs: observer performance study. Acad Radiol. 2003 Nov; 10(11):1302-11.
Score: 0.045
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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: 0.021
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Improved detection of subtle lung nodules by use of chest radiographs with bone suppression imaging: receiver operating characteristic analysis with and without localization. AJR Am J Roentgenol. 2011 May; 196(5):W535-41.
Score: 0.019
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[ROC analysis for evaluating the detectability of image unsharpness due to the patient's movement: phantom study comparing preview and diagnostic LCDs]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2011; 67(7):772-8.
Score: 0.019
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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: 0.017
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Subjective similarity of patterns of diffuse interstitial lung disease on thin-section CT: an observer performance study. Acad Radiol. 2009 Apr; 16(4):477-85.
Score: 0.017
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Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy. Acad Radiol. 2008 Dec; 15(12):1505-12.
Score: 0.016
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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: 0.016
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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: 0.016
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Computerized detection of vertebral compression fractures on lateral chest radiographs: preliminary results with a tool for early detection of osteoporosis. Med Phys. 2006 Dec; 33(12):4664-74.
Score: 0.014
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Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology. 2005 Nov; 237(2):684-90.
Score: 0.013
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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: 0.013
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Effect of temporal subtraction images on radiologists' detection of lung cancer on CT: results of the observer performance study with use of film computed tomography images. Acad Radiol. 2004 Dec; 11(12):1337-43.
Score: 0.012
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Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy. AJR Am J Roentgenol. 2004 Nov; 183(5):1209-15.
Score: 0.012
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Artificial neural networks (ANNs) for differential diagnosis of interstitial lung disease: results of a simulation test with actual clinical cases. Acad Radiol. 2004 Jan; 11(1):29-37.
Score: 0.011
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Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules. Med Phys. 2003 Oct; 30(10):2584-93.
Score: 0.011
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Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography. Med Phys. 2003 Sep; 30(9):2440-54.
Score: 0.011
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[Development of an image processing scheme for chest radiographs using a dot printer]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Sep; 58(9):1268-77.
Score: 0.010