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Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data.

, , , , , and . CBMS, page 224-. IEEE Computer Society, (2004)

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New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid., , , , , , and . Image Processing, volume 5370 of SPIE Proceedings, SPIE, (2004)Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis., , , , , , and . Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, volume 5812 of SPIE Proceedings, page 226-231. SPIE, (2005)New results using multi array sensors and support vector machines for the detection and classification of organophosphate nerve agents., , , , , , and . SMC, page 2883-2888. IEEE, (2003)Applying knowledge engineering and representation methods to improve support vector machine and multivariate probabilistic neural network CAD performance., , , , , and . Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)Breast cancer computer aided diagnosis (CAD) using a recently developed SVM/GRNN Oracle hybrid., , , , and . SMC, page 4705-4711. IEEE, (2003)Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data., , , , , and . CBMS, page 224-. IEEE Computer Society, (2004)Application of support vector machines to breast cancer screening using mammogram and clinical history data., , , , , and . Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)New approach to breast cancer CAD using partial least squares and kernel-partial least squares., , , , , and . Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)