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Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications

Radiology, 2001-09, Vol.220 (3), p.787-794

2001

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Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs

Radiology, 1996-06, Vol.199 (3), p.843-848

1996

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Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer

Radiology, 1993-04, Vol.187 (1), p.81-87

1993

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Malignant and benign clustered microcalcifications: automated feature analysis and classification

Radiology, 1996-03, Vol.198 (3), p.671-678

1996

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Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings

Radiology, 2004-12, Vol.233 (3), p.793

2004

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Digital chest radiography: effect of temporal subtraction images on detection accuracy

Radiology, 1997-02, Vol.202 (2), p.447-452

1997

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Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program

Radiology, 2002-12, Vol.225 (3), p.685-692

2002

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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, 2002-12, Vol.225 (3), p.673-683

2002

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Computerized radiographic analysis of osteoporosis: preliminary evaluation

Radiology, 1993-02, Vol.186 (2), p.471-474

1993

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Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization

Radiology, 2005-11, Vol.237 (2), p.684-690

2005

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Potential usefulness of an artificial neural network for differential diagnosis of interstitial lung diseases: pilot study

Radiology, 1990-12, Vol.177 (3), p.857-860

1990

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Digital radiography of subtle pulmonary abnormalities: an ROC study of the effect of pixel size on observer performance

Radiology, 1986-01, Vol.158 (1), p.21-26

1986

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Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks

Radiology, 2000-03, Vol.214 (3), p.823-830

2000

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Data compression: effect on diagnostic accuracy in digital chest radiography

Radiology, 1991-01, Vol.178 (1), p.175-179

1991

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Intracranial aneurysms at MR angiography: effect of computer-aided diagnosis on radiologists' detection performance

Radiology, 2005-11, Vol.237 (2), p.605-610

2005

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Digital chest radiography: effect on diagnostic accuracy of hard copy, conventional video, and reversed gray scale video display formats

Radiology, 1988-09, Vol.168 (3), p.669-673

1988

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Improved detection of lung nodules by using a temporal subtraction technique

Radiology, 2002-07, Vol.224 (1), p.145-151

2002

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Computer-aided diagnosis of pulmonary nodules: results of a large-scale observer test

Radiology, 1999-12, Vol.213 (3), p.723-726

1999

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Digital imaging of the chest

Radiology, 1989-05, Vol.171 (2), p.297-307

1989

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Digital image processing: effect on detectability of simulated low-contrast radiographic patterns

Radiology, 1984-02, Vol.150 (2), p.569-575

1984

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Evaluation of absorbed dose in mammography: monte carlo simulation studies

Radiology, 1980-04, Vol.135 (1), p.199-208

1980

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Digital radiographic imaging system with multiple-slit scanning x-ray beam: preliminary report

Radiology, 1986-11, Vol.161 (2), p.513-518

1986

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Noise reduction by radiographic magnification

Radiology, 1977-02, Vol.122 (2), p.479-487

1977

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Detection of lung nodules on digital chest radiographs: potential usefulness of a new contralateral subtraction technique

Radiology, 2002-04, Vol.223 (1), p.199

2002

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Detectability of depth information by use of magnification stereoscopic technique in cerebral angiography

Radiology, 1983-01, Vol.146 (1), p.91-95

1983

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Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications

Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs

Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer

Malignant and benign clustered microcalcifications: automated feature analysis and classification

Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings

Digital chest radiography: effect of temporal subtraction images on detection accuracy

Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program

Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings

Computerized radiographic analysis of osteoporosis: preliminary evaluation

Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization

Potential usefulness of an artificial neural network for differential diagnosis of interstitial lung diseases: pilot study

Digital radiography of subtle pulmonary abnormalities: an ROC study of the effect of pixel size on observer performance

Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks

Data compression: effect on diagnostic accuracy in digital chest radiography

Intracranial aneurysms at MR angiography: effect of computer-aided diagnosis on radiologists' detection performance

Digital chest radiography: effect on diagnostic accuracy of hard copy, conventional video, and reversed gray scale video display formats

Improved detection of lung nodules by using a temporal subtraction technique

Computer-aided diagnosis of pulmonary nodules: results of a large-scale observer test

Digital imaging of the chest

Digital image processing: effect on detectability of simulated low-contrast radiographic patterns

Evaluation of absorbed dose in mammography: monte carlo simulation studies

Digital radiographic imaging system with multiple-slit scanning x-ray beam: preliminary report

Noise reduction by radiographic magnification

Detection of lung nodules on digital chest radiographs: potential usefulness of a new contralateral subtraction technique

Detectability of depth information by use of magnification stereoscopic technique in cerebral angiography

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