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Volumn 5032 II, Issue , 2003, Pages 802-809

Automated selection of BI-RADS lesion descriptors for reporting calcifications in mammograms

Author keywords

BI RADS; Classification; Computer aided diagnosis; Linear discriminant analysis; Mammography; Microcalcifications

Indexed keywords

COMPUTER APPLICATIONS; DIAGNOSIS; FEATURE EXTRACTION; MAMMOGRAPHY; MORPHOLOGY; RADIOLOGY;

EID: 0041374013     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.480847     Document Type: Conference Paper
Times cited : (1)

References (14)
  • 2
    • 0025080985 scopus 로고
    • Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis
    • H.P. Chan, K. Doi, C.J. Vyborny, R.A. Schmidt, C.E. Metz, K.L. Lam, T. Ogura, Y. Wu, and H. MacMahon, Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis, Invest. Radiol. 25, 1102-1110 (1990).
    • (1990) Invest. Radiol. , vol.25 , pp. 1102-1110
    • Chan, H.P.1    Doi, K.2    Vyborny, C.J.3    Schmidt, R.A.4    Metz, C.E.5    Lam, K.L.6    Ogura, T.7    Wu, Y.8    Macmahon, H.9
  • 8
    • 0029095797 scopus 로고
    • Breast cancer: Prediction with artificial neural network based on BI-RADS standardized lexicon
    • J.A. Baker, P.J. Kornguth, J.Y. Lo, M.E. Williford, and C.E. Floyd, Breast cancer: Prediction with artificial neural network based on BI-RADS standardized lexicon, Radiology 196, 814-822 (1995).
    • (1995) Radiology , vol.196 , pp. 814-822
    • Baker, J.A.1    Kornguth, P.J.2    Lo, J.Y.3    Williford, M.E.4    Floyd, C.E.5
  • 9
    • 0031830778 scopus 로고    scopus 로고
    • The breast imaging reporting and data system: Positive predictive value of mammographic features and final assessment categories
    • L. Liberman, A.F. Abramson, F.B. Squires, J.R. Glassman, E.A. Morris, and D.D. Dershaw, The breast imaging reporting and data system: Positive predictive value of mammographic features and final assessment categories, AJR 171, 35-40 (1998).
    • (1998) AJR , vol.171 , pp. 35-40
    • Liberman, L.1    Abramson, A.F.2    Squires, F.B.3    Glassman, J.R.4    Morris, E.A.5    Dershaw, D.D.6
  • 10
    • 0033005259 scopus 로고    scopus 로고
    • BI-RADS categorization as a predictor of malignancy
    • S.G. Orel, N. Kay, C. Reynolds, and D.C. Sullivan, BI-RADS Categorization as a predictor of malignancy, Radiology 211, 845-850 (1999).
    • (1999) Radiology , vol.211 , pp. 845-850
    • Orel, S.G.1    Kay, N.2    Reynolds, C.3    Sullivan, D.C.4
  • 12
    • 0026963365 scopus 로고
    • Method of extracting signal area and signal thickness of microcalcifications from digital mammogams
    • Y. Jiang, R.M. Nishikawa, M.L. Giger, K. Doi, R. A. Schmidt, and C.J. Vyborny, Method of extracting signal area and signal thickness of microcalcifications from digital mammogams, Proceeding of SPIE 1778, 28-36 (1992).
    • (1992) Proceeding of SPIE , vol.1778 , pp. 28-36
    • Jiang, Y.1    Nishikawa, R.M.2    Giger, M.L.3    Doi, K.4    Schmidt, R.A.5    Vyborny, C.J.6
  • 14
    • 0032703733 scopus 로고    scopus 로고
    • Feature selection with limited datasets
    • M.A. Kupinski, and M.L. Giger, Feature selection with limited datasets, Med. Phys. 26, 2176-2182, (1999).
    • (1999) Med. Phys. , vol.26 , pp. 2176-2182
    • Kupinski, M.A.1    Giger, M.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.