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Volumn 5032 II, Issue , 2003, Pages 898-907

Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions

Author keywords

Adaptive boosting; Breast cancer; Evolutionary programming; Fitness functions

Indexed keywords

BIOPSY; COMPUTER AIDED DIAGNOSIS; EVOLUTIONARY ALGORITHMS; SENSITIVITY ANALYSIS; TUMORS;

EID: 0042375847     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.483550     Document Type: Conference Paper
Times cited : (1)

References (12)
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    • J. Y. Lo, J. A. Baker, P. J. Kornguth, J. D. Iglehart, and C. E. Floyd. "Predicting Breast Cancer Invasion with Artificial Neural Networks on the Basis of Mammographic Features." Radiology, 203, pp. 159-163, 1997.
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    • Lo, J.Y.1    Baker, J.A.2    Kornguth, P.J.3    Iglehart, J.D.4    Floyd, C.E.5
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    • Freund, Y.1    Schapire, R.E.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.