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Application of support vector machines to breast cancer screening using mammogram and clinical history data.

, , , , , и . Image Processing, том 5032 из SPIE Proceedings, SPIE, (2003)

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Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions., , , и . Image Processing, том 5032 из SPIE Proceedings, SPIE, (2003)Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines., , , и . Image Processing, том 5370 из SPIE Proceedings, SPIE, (2004)New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid., , , , , , и . Image Processing, том 5370 из SPIE Proceedings, SPIE, (2004)Breast cancer computer aided diagnosis (CAD) using a recently developed SVM/GRNN Oracle hybrid., , , , и . SMC, стр. 4705-4711. IEEE, (2003)Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data., , , , , и . CBMS, стр. 224-. IEEE Computer Society, (2004)Application of support vector machines to breast cancer screening using mammogram and clinical history data., , , , , и . Image Processing, том 5032 из SPIE Proceedings, SPIE, (2003)Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis., , , , , , и . Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, том 5812 из SPIE Proceedings, стр. 226-231. SPIE, (2005)Applying knowledge engineering and representation methods to improve support vector machine and multivariate probabilistic neural network CAD performance., , , , , и . Image Processing, том 5747 из SPIE Proceedings, SPIE, (2005)Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms., , , , и . IEEE Congress on Evolutionary Computation, стр. 187-192. IEEE, (2002)