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Volumn 7260, Issue , 2009, Pages

Automated lung nodule detection and segmentation

Author keywords

CAD development; Lung

Indexed keywords

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; AUTOMATED LUNG NODULE DETECTION; CAD DEVELOPMENT; CAD SYSTEM; COMPUTER-AIDED DETECTION; CONNECTED REGION; CT SCAN; CT VOLUME; DETECTION ALGORITHM; DETECTION METHODS; DETECTION OF LUNG NODULES; EIGENVALUES; EIGENVECTORS; FORM AND POSITION; GAUSSIAN FILTERS; HESSIAN MATRICES; IMAGE DATA; LOW-DOSE CT; LUNG; LUNG NODULE; MULTISCALE; MULTITHRESHOLD; SPHERICAL OBJECTS; SPHERICAL STRUCTURES; TRUE POSITIVE;

EID: 66749167133     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.811985     Document Type: Conference Paper
Times cited : (8)

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  • 7
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    • Improvement of method for computer-assisted detection of pulmonary nodules in CT of the chest
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    • M. Fiebich, D. Wormanns, W. Heindel, "Improvement of method for computer-assisted detection of pulmonary nodules in CT of the chest," SPIE Proceedings 4322, Medical Imaging 2001: Image Processing, M. Sonka, K. M. Hanson, Editors, pp. 702-709, 2001
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    • Automatic detection of pulmonary nodules at spiral CT: Clinical application of a computer-aided diagnosis system
    • DOI 10.1007/s003300101126
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.