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Volumn 6514, Issue PART 1, 2007, Pages

Segmentation of suspicious lesions in dynamic, contrast-enhanced breast MR images

Author keywords

Breast MR; Dynamic contrast enhanced breast MR; Lesion segmentation

Indexed keywords

COMPUTER AIDED DIAGNOSIS; IMAGE SEGMENTATION; MORPHOLOGY; NETWORK PROTOCOLS; ONCOLOGY; TUMORS;

EID: 35248866597     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.706537     Document Type: Conference Paper
Times cited : (11)

References (13)
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    • Chen, W.1    Giger, M.2    Lan, L.3    Bick, U.4
  • 6
    • 29944447410 scopus 로고    scopus 로고
    • A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images
    • W. Chen, M. Giger, and U. Bick, "A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images," Academic Radiology 13, pp. 63-72, 2006.
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    • Chen, W.1    Giger, M.2    Bick, U.3
  • 7
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  • 8
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    • Segmentation strategies for breast tumors from dynamic MR images
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  • 9
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    • A method for computerized assessment of tumor extent in contrast-enhanced MR images of the breast
    • Elsevier Science B.V
    • K. Gilhuijs, M. Giger, and U. Bick, "A method for computerized assessment of tumor extent in contrast-enhanced MR images of the breast," in Computer-Aided Diagnosis in Medical Imaging, pp. 305-310, Elsevier Science B.V., 1999.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.