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

, , , , and . Image Processing, volume 4684 of SPIE Proceedings, SPIE, (2002)

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An adaptive image segmentation process for the classification of lung biopsy images., , , , and . Image Processing, volume 6144 of SPIE Proceedings, page 614452. SPIE, (2006)Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis., , and . Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Application of support vector machines to breast cancer screening using mammogram and history data., , , , and . Image Processing, volume 4684 of SPIE Proceedings, SPIE, (2002)Investigation of and preliminary results for the solution of the inter-observer variability problem using fine needle aspirate (FNA) data., , and . CEC, page 1770-1780. IEEE, (1999)Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering., , and . Image Processing, volume 6512 of SPIE Proceedings, page 65124P. SPIE, (2007)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)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)Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis., , and . IJCNN, page 3712-3716. IEEE, (1999)Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms., , , , and . IEEE Congress on Evolutionary Computation, page 187-192. IEEE, (2002)Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification., , , and . Image Processing, volume 4322 of SPIE Proceedings, SPIE, (2001)