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Volumn 569, Issue 2 SPEC. ISS., 2006, Pages 596-600

An automatic system to discriminate malignant from benign massive lesions on mammograms

Author keywords

Breast cancer; Computer aided diagnosis; Massive lesions; Neural networks; Segmentation

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; IMAGE SEGMENTATION; NEURAL NETWORKS; RADIOLOGY; TUMORS;

EID: 33751400948     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nima.2006.08.093     Document Type: Article
Times cited : (14)

References (22)
  • 3
    • 0001177214 scopus 로고
    • Ariel I.M., and Cleary J.B. (Eds), McGraw-Hill, New York
    • Zuckerman H.C. In: Ariel I.M., and Cleary J.B. (Eds). Breast Cancer: Diagnosis and Treatment (1987), McGraw-Hill, New York 152-172
    • (1987) Breast Cancer: Diagnosis and Treatment , pp. 152-172
    • Zuckerman, H.C.1
  • 9
    • 0024172568 scopus 로고    scopus 로고
    • A. Amini, S. Tehrani, T. Weymouth, Proceedings of the Second International Conference on Computer Vision, Tarpon Springs, FL, 1988, p. 95.
  • 22
    • 33751425101 scopus 로고    scopus 로고
    • R. Bellotti, et al., Proceedings of the IEEE Nuclear Science Symposium, 2004, pp. N33-173.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.