Kunio Doi to Lung Neoplasms
This is a "connection" page, showing publications Kunio Doi has written about Lung Neoplasms.
Connection Strength
4.056
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[Development of a digital chest phantom for studies on energy subtraction techniques]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2014 Mar; 70(3):191-8.
Score: 0.200
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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: 0.165
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Usefulness of computer-aided diagnosis schemes for vertebral fractures and lung nodules on chest radiographs. AJR Am J Roentgenol. 2008 Jul; 191(1):260-5.
Score: 0.135
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Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier. Acad Radiol. 2008 Feb; 15(2):165-75.
Score: 0.131
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Integration of temporal subtraction and nodule detection system for digital chest radiographs into picture archiving and communication system (PACS): four-year experience. J Digit Imaging. 2008 Mar; 21(1):91-8.
Score: 0.123
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Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographs. Acad Radiol. 2007 Jan; 14(1):28-37.
Score: 0.122
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Computer-aided nodule detection on digital chest radiography: validation test on consecutive T1 cases of resectable lung cancer. J Digit Imaging. 2006 Dec; 19(4):376-82.
Score: 0.121
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Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT. Acad Radiol. 2006 Aug; 13(8):943-50.
Score: 0.118
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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: 0.118
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Integrating PET and CT information to improve diagnostic accuracy for lung nodules: A semiautomatic computer-aided method. J Nucl Med. 2006 Jul; 47(7):1075-80.
Score: 0.118
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Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification. Med Phys. 2006 Jul; 33(7):2642-53.
Score: 0.118
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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: 0.112
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Computer-aided diagnosis in thoracic CT. Semin Ultrasound CT MR. 2005 Oct; 26(5):357-63.
Score: 0.112
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Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network. IEEE Trans Med Imaging. 2005 Sep; 24(9):1138-50.
Score: 0.111
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False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network. Acad Radiol. 2005 Feb; 12(2):191-201.
Score: 0.107
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Histopathological study of time course changes in PTHrP-induced incisor lesions of rats. Toxicol Pathol. 2005; 33(2):230-8.
Score: 0.106
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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: 0.106
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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: 0.105
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Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings. Radiology. 2004 Dec; 233(3):793-8.
Score: 0.105
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Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening. Acad Radiol. 2004 Jun; 11(6):617-29.
Score: 0.102
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Improved detection of lung cancer arising in diffuse lung diseases on chest radiographs using temporal subtraction. Acad Radiol. 2004 May; 11(5):498-505.
Score: 0.101
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Low-dose computed tomography screening for lung cancer in a general population: characteristics of cancer in non-smokers versus smokers. Acad Radiol. 2003 Sep; 10(9):1013-20.
Score: 0.097
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Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans. Med Phys. 2003 Aug; 30(8):2040-51.
Score: 0.096
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Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience. Radiology. 2003 May; 227(2):469-74.
Score: 0.095
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Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings. Radiology. 2002 Dec; 225(3):673-83.
Score: 0.092
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Improved detection of lung nodules by using a temporal subtraction technique. Radiology. 2002 Jul; 224(1):145-51.
Score: 0.089
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Development of a computerized method for identifying the posteroanterior and lateral views of chest radiographs by use of a template matching technique. Med Phys. 2002 Jul; 29(7):1556-61.
Score: 0.089
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Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images. Med Phys. 2002 May; 29(5):701-8.
Score: 0.088
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Computer-aided diagnostic scheme for lung nodule detection in digital chest radiographs by use of a multiple-template matching technique. Med Phys. 2001 Oct; 28(10):2070-6.
Score: 0.085
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ROC analysis of detection of metastatic pulmonary nodules on digital chest radiographs with temporal subtraction. Acad Radiol. 2001 Sep; 8(9):871-8.
Score: 0.084
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Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks. Radiology. 2000 Mar; 214(3):823-30.
Score: 0.076
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[Usefulness of temporal subtraction images of chest computed radiography for detection of metastatic pulmonary nodules]. Nihon Igaku Hoshasen Gakkai Zasshi. 2000 Mar; 60(4):193-8.
Score: 0.076
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Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs. Radiology. 1996 Jun; 199(3):843-8.
Score: 0.059
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Small lung cancers: improved detection by use of bone suppression imaging--comparison with dual-energy subtraction chest radiography. Radiology. 2011 Dec; 261(3):937-49.
Score: 0.042
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True detection versus "accidental" detection of small lung cancer by a computer-aided detection (CAD) program on chest radiographs. J Digit Imaging. 2010 Feb; 23(1):66-72.
Score: 0.036
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Improved detection of small lung cancers with dual-energy subtraction chest radiography. AJR Am J Roentgenol. 2008 Apr; 190(4):886-91.
Score: 0.033
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Lung cancers missed on chest radiographs: results obtained with a commercial computer-aided detection program. Radiology. 2008 Jan; 246(1):273-80.
Score: 0.033
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Analysis and minimization of overtraining effect in rule-based classifiers for computer-aided diagnosis. Med Phys. 2006 Feb; 33(2):320-8.
Score: 0.029
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How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT? Acad Radiol. 2005 Oct; 12(10):1333-41.
Score: 0.028
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Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1). Acad Radiol. 2005 Mar; 12(3):337-46.
Score: 0.027
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Current status and future potential of computer-aided diagnosis in medical imaging. Br J Radiol. 2005; 78 Spec No 1:S3-S19.
Score: 0.027
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Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system. AJR Am J Roentgenol. 2004 Feb; 182(2):505-10.
Score: 0.025
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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: 0.024
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Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images. Med Phys. 2003 Mar; 30(3):387-94.
Score: 0.023
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Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology. 2002 Dec; 225(3):685-92.
Score: 0.023
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Usefulness of an artificial neural network for differentiating benign from malignant pulmonary nodules on high-resolution CT: evaluation with receiver operating characteristic analysis. AJR Am J Roentgenol. 2002 Mar; 178(3):657-63.
Score: 0.022
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Detection of DNA abnormalities by arbitrarily primed PCR fingerprinting: allelic losses in chromosome 10q in lung cancers. Biochem Biophys Res Commun. 1998 Oct 09; 251(1):153-7.
Score: 0.017
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Development of an improved CAD scheme for automated detection of lung nodules in digital chest images. Med Phys. 1997 Sep; 24(9):1395-403.
Score: 0.016
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Detection of lung nodules in digital chest radiographs using artificial neural networks: a pilot study. J Digit Imaging. 1995 May; 8(2):88-94.
Score: 0.014
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[Case of HCG producing lung squamous cell carcinoma]. Nihon Naika Gakkai Zasshi. 1994 May 10; 83(5):820-1.
Score: 0.013
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[Evaluation of the potential benefit of computer-aided diagnosis (CAD) for lung cancer screenings using photofluorography: analysis of an observer study]. Nihon Igaku Hoshasen Gakkai Zasshi. 1993 Oct 25; 53(10):1195-207.
Score: 0.012
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Image feature analysis of false-positive diagnoses produced by automated detection of lung nodules. Invest Radiol. 1992 Aug; 27(8):587-97.
Score: 0.011
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[Potential usefulness of computer-aided diagnosis (CAD) in a mass survey for lung cancer using photo-fluorographic films]. Nihon Igaku Hoshasen Gakkai Zasshi. 1992 Apr 25; 52(4):500-2.
Score: 0.011
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Computerized scheme for the detection of pulmonary nodules. A nonlinear filtering technique. Invest Radiol. 1992 Feb; 27(2):124-9.
Score: 0.011
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Automated lung nodule classification following automated nodule detection on CT: a serial approach. Med Phys. 2003 Jun; 30(6):1188-97.
Score: 0.006
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Evaluation of an enhanced digital film-duplication system by receiver operating characteristic analysis. Invest Radiol. 1993 Dec; 28(12):1134-8.
Score: 0.003
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Potential usefulness of computerized nodule detection in screening programs for lung cancer. Invest Radiol. 1992 Jun; 27(6):471-5.
Score: 0.003
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Pulmonary nodules: computer-aided detection in digital chest images. Radiographics. 1990 Jan; 10(1):41-51.
Score: 0.002
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Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields. Med Phys. 1988 Mar-Apr; 15(2):158-66.
Score: 0.002