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Volumn 5, Issue , 2004, Pages

A new knowledge-based lung nodule detection system

Author keywords

[No Author keywords available]

Indexed keywords

BLACKBOARD ENVIRONMENT; LUNG NODULE DETECTION SYSTEM; SEMANTIC NETWORKS;

EID: 4544381306     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (8)
  • 2
    • 0025799886 scopus 로고
    • Low-dose high-resolution CT of lung parenchyma
    • C.V. Zwirewich et al., Low-Dose High-Resolution CT of Lung Parenchyma, Radiology 180, 413-417 (1991).
    • (1991) Radiology , vol.180 , pp. 413-417
    • Zwirewich, C.V.1
  • 3
    • 0000209372 scopus 로고
    • Correlated applied anatomy of the bronchial tree and lungs with a system of nomenclature
    • Virtual Hospital, Modified from C.L. Jackson and J.F. Huber, Correlated applied anatomy of the bronchial tree and lungs with a system of nomenclature. Dis Chest 9 (4), 319-326 (1943).
    • (1943) Dis Chest , vol.9 , Issue.4 , pp. 319-326
    • Jackson, C.L.1    Huber, J.F.2
  • 5
    • 0029848374 scopus 로고    scopus 로고
    • Image feature selection by a genetic algorithm: Application to classification of mass and normal breast tissue on mammograms
    • B. Sahiner et al., Image feature selection by a genetic algorithm: Application to classification of mass and normal breast tissue on mammograms, Med.Phys. 23, 1671-1648 (1996).
    • (1996) Med.Phys. , vol.23 , pp. 1671-11648
    • Sahiner, B.1
  • 6
    • 0032026477 scopus 로고    scopus 로고
    • Computer-aided diagnosis for pulmonary nodules based on helical CT images
    • K. Kanazawa et al., Computer-aided diagnosis for pulmonary nodules based on helical CT images, Computerized Medical Imaging and Graphics, 157-167 (1998).
    • (1998) Computerized Medical Imaging and Graphics , pp. 157-167
    • Kanazawa, K.1
  • 7
    • 0346977262 scopus 로고    scopus 로고
    • Fuzzy GMean: A statistical feature classification of text and image segmentation method
    • S. Chuai-aree et al., Fuzzy GMean: A statistical feature classification of text and image segmentation method, Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. .9, 661-671 (2001).
    • (2001) Int. J. of Uncertainty, Fuzziness and Knowledge-based Systems , vol.9 , pp. 661-671
    • Chuai-Aree, S.1
  • 8
    • 0030081841 scopus 로고    scopus 로고
    • An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection
    • Feb.
    • N. Petrick et al., An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection, IEEE Trans. Med. Imaging, vol. 15, No. 1, pp. 59-67, Feb. 1996.
    • (1996) IEEE Trans. Med. Imaging , vol.15 , Issue.1 , pp. 59-67
    • Petrick, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.