Kunio Doi to Lung Diseases, Interstitial
This is a "connection" page, showing publications Kunio Doi has written about Lung Diseases, Interstitial.
Connection Strength
2.319
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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: 0.270
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[Comparison of LCD and CRT monitors for detection of pulmonary nodules and interstitial lung diseases on digital chest radiographs by using receiver operating characteristic analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2006 May 20; 62(5):734-41.
Score: 0.221
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[Report on the 90th Scientific Assembly and Annual Meeting of the Radiological Society of North America-- Comparison of LCD and CRT monitors for detection of pulmonary nodules and interstitial lung diseases on digital chest radiographs by using receiver operating characteristic analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2005 Jul 20; 61(7):974-5.
Score: 0.209
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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: 0.188
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[ROC analysis of detection of interval changes in interstitial lung diseases on digital chest radiographs using the temporal subtraction technique]. Nihon Igaku Hoshasen Gakkai Zasshi. 2004 Jan; 64(1):35-40.
Score: 0.188
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Use of an artificial neural network to determine the diagnostic value of specific clinical and radiologic parameters in the diagnosis of interstitial lung disease on chest radiographs. Acad Radiol. 2002 Jan; 9(1):13-7.
Score: 0.163
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Effect of an artificial neural network on radiologists' performance in the differential diagnosis of interstitial lung disease using chest radiographs. AJR Am J Roentgenol. 1999 May; 172(5):1311-5.
Score: 0.136
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Artificial neural networks in chest radiography: application to the differential diagnosis of interstitial lung disease. Acad Radiol. 1999 Jan; 6(1):2-9.
Score: 0.133
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Computer-aided diagnosis for detection of interstitial opacities on chest radiographs. AJR Am J Roentgenol. 1998 Dec; 171(6):1651-6.
Score: 0.132
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Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease. J Digit Imaging. 1998 Nov; 11(4):182-92.
Score: 0.131
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Computerized analysis of interstitial disease in chest radiographs: improvement of geometric-pattern feature analysis. Med Phys. 1997 Jun; 24(6):915-24.
Score: 0.119
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Computerized analysis of interstitial infiltrates on chest radiographs: a new scheme based on geometric pattern features and Fourier analysis. Acad Radiol. 1995 Jun; 2(6):455-62.
Score: 0.104
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Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin Nucl Med. 2011 Nov; 41(6):449-62.
Score: 0.081
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Computer-aided diagnosis in thoracic CT. Semin Ultrasound CT MR. 2005 Oct; 26(5):357-63.
Score: 0.053
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Computer-aided diagnosis in chest radiography: results of large-scale observer tests at the 1996-2001 RSNA scientific assemblies. Radiographics. 2003 Jan-Feb; 23(1):255-65.
Score: 0.044
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Automatic detection of abnormalities in chest radiographs using local texture analysis. IEEE Trans Med Imaging. 2002 Feb; 21(2):139-49.
Score: 0.041
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Classification of normal and abnormal lungs with interstitial diseases by rule-based method and artificial neural networks. J Digit Imaging. 1997 Aug; 10(3):108-14.
Score: 0.030
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Quantitative analysis of geometric-pattern features of interstitial infiltrates in digital chest radiographs: preliminary results. J Digit Imaging. 1996 Aug; 9(3):137-44.
Score: 0.028
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Computer-aided diagnosis for interstitial infiltrates in chest radiographs: optical-density dependence of texture measures. Med Phys. 1995 Sep; 22(9):1515-22.
Score: 0.026
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Automated selection of regions of interest for quantitative analysis of lung textures in digital chest radiographs. Med Phys. 1993 Jul-Aug; 20(4):975-82.
Score: 0.023