Interstitial lung diseases: Evaluation of the performance of a computerized analysis system versus observers

Computerized Medical Imaging and Graphics

Volumn 23, Issue 2, 1999, Pages 103-110

  Kido, S ^a   Tamura, S ^b   Nakamura, H ^c   Kuroda, C ^d  

^a OSAKA MEDICAL CENTER FOR CANCER AND CARDIOVASCULAR DISEASES   (Japan)

^b OSAKA UNIVERSITY   (Japan)

^c OSAKA UNIVERSITY MEDICAL SCHOOL   (Japan)

^d NONE

Author keywords

Chest radiography; Computer aided diagnosis (CAD); Image processing; Interstitial lung disease; Receiver operating characteristic (ROC) analysis

Indexed keywords

DIAGNOSTIC RADIOGRAPHY; IMAGE ANALYSIS; PULMONARY DISEASES;

INTERSTITIAL LUNG DISEASES; RECEIVER OPERATING CHARACTERISTIC (ROC) ANALYSIS;

COMPUTER AIDED DIAGNOSIS;

ARTICLE; COMPUTER ANALYSIS; COMPUTER SYSTEM; IMAGE ANALYSIS; INTERSTITIAL LUNG DISEASE; OBSERVER VARIATION; PRIORITY JOURNAL; RADIOLOGIST; THORAX RADIOGRAPHY;

ADULT; ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; FALSE POSITIVE REACTIONS; FEMALE; FOLLOW-UP STUDIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTERNSHIP AND RESIDENCY; LUNG; LUNG DISEASES, INTERSTITIAL; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHY, THORACIC; RADIOLOGY; ROC CURVE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0032959139     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-6111(99)00003-8     Document Type: Article

References (13)

1. Genereux G.P. Pattern recognition in diffuse lung disease. Med. Radiogr. Photogr. 61:1985;2-31.
2. Sutton R.N., Hall E.L. Texture measures for automatic classification of pulmonary disease. IEEE Trans. Comput. 21:1972;667-676.
3. Revesz J., Kundel H.L. Feasibility of classifying disseminated diseases based on their Fourier spectra. Invest. Radiol. 8:1973;345-349.
4. Tully R.J., Conners R.W., Harlow C.A., et al. Toward computer analysis of pulmonary infiltration. Invest. Radiol. 13:1978;298-305.
5. Katsuragawa S., Doi K., MacMahon H. Image feature analysis and computer-aided diagnosis in digital radiography: Detection and characterization of interstitial lung disease in digital chest radiographs. Med. Phys. 15:1988;311-319.
6. Katsuragawa S., Doi K., MacMahon H. Image feature analysis and computer-aided diagnosis in digital radiography: Classification of normal and abnormal lungs with interstitial disease in chest images. Med. Phys. 16:1989;38-44.
7. Kido S., Ikezoe J., Naito H., Masuike M., Tamura S., Kozuka T. An image analyzing system for interstitial lung abnormalities in chest radiography: Detection and classification by Laplacian-Gaussian filtering and linear opacity judgment. Invest. Radiol. 29:1994;172-177.
8. Kido S., Ikezoe J., Tamura S., Nakamura H., Kuroda C. A computerized analysis system in chest radiography: evaluation of interstitial lung abnormalities. J. of Digital Imaging. 10:1997;57-64.
9. Tamura S., Uga M., Ono T. Straight line extraction for wafer alignment. Proc. IEEE Comp. Vis. Pattern Recog. 83:1983;285-290.
10. Dorfmann D.D., Alf E.E. Maximum likelihood estimation of parameters of signal detection and determination of confidence intervals: rating method data. J. Math. Psychol. 14:1969;109-121.
11. Swets J.A. Analysis applied to the evaluation of medical imaging techniques. Invest. Radiol. 14:1979;109-121.
12. Metz C.E. ROC methodology in radiologic imaging. Invest. Radiol. 21:1986;720-733.
13. Metz C.E. Some practical issues of experimental design and data analysis in radiological ROC studies. Invest. Radiol. 24:1989;234-245.