Walker H. Land

16 papers B 16

Year	Rank	Type	Title / Venue / Authors
2008	B	`conf`	Robust segmentation using kernel and spatial based fuzzy c-means methods on breast x-ray images. Image Processing Xuejun Sun, Dmitry B. Goldgof, Walker H. Land
2007	B	`conf`	Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering. Image Processing Xuejun Sun, Walker H. Land, Ravi Samala
2006	B	`conf`	An adaptive image segmentation process for the classification of lung biopsy images. Image Processing Daniel W. McKee, Walker H. Land, Tatyana Zhukov, Dansheng Song, Wei Qian
2005	B	`conf`	Applying knowledge engineering and representation methods to improve support vector machine and multivariate probabilistic neural network CAD performance. Image Processing Walker H. Land, Frances R. Anderson, Tom Smith, Stephen Fahlbusch, Robert Choma, Lut Wong
2005	B	`conf`	New approach to breast cancer CAD using partial least squares and kernel-partial least squares. Image Processing Walker H. Land, John J. Heine, Mark J. Embrechts, Tom Smith, Robert Choma, Lut Wong
2004	B	`conf`	Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines. Image Processing Walker H. Land, Daniel W. McKee, Frances R. Anderson, Joseph Y. Lo
2004	B	`conf`	New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid. Image Processing Walker H. Land, Lut Wong, Daniel W. McKee, Timothy Masters, Frances R. Anderson, Anurag Raturi, Joseph Y. Lo
2003	B	`conf`	Application of support vector machines to breast cancer screening using mammogram and clinical history data. Image Processing Walker H. Land, Daniel W. McKee, Roberto Velazquez, Lut Wong, Joseph Y. Lo, Frances R. Anderson
2003	B	`conf`	Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions. Image Processing Walker H. Land, Daniel W. McKee, Joseph Y. Lo, Frances R. Anderson
2002	B	`conf`	Application of support vector machines to breast cancer screening using mammogram and history data. Image Processing Walker H. Land, Anab Akanda, Joseph Y. Lo, Francis Anderson, Margaret Bryden
2002	B	`conf`	Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms. IEEE Congress on Evolutionary Computation Walker H. Land, Margaret Bryden, Joseph Y. Lo, Daniel W. McKee, Frances R. Anderson
2001	B	`conf`	Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification. Image Processing Walker H. Land, Timothy D. Masters, Joseph Y. Lo, Daniel W. McKee
2000	B	`conf`	Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. Image Processing Walker H. Land, Timothy D. Masters, Joseph Y. Lo
2000	B	`conf`	Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis. Image Processing Joseph Y. Lo, Walker H. Land, Clayton T. Morrison
1999	B	`conf`	Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis. IJCNN Joseph Y. Lo, Walker H. Land, Clayton T. Morrison
1999	B	`conf`	Investigation of and preliminary results for the solution of the inter-observer variability problem using fine needle aspirate (FNA) data. CEC Walker H. Land, Lewis Loren, Timothy Masters