Walker H. Land

According to our database, Walker H. Land authored at least 16 papers between 1999 and 2008.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2008

Robust segmentation using kernel and spatial based fuzzy c-means methods on breast x-ray images.

Xuejun Sun, Dmitry B. Goldgof, Walker H. Land

Proceedings of the Medical Imaging 2008: Image Processing, 2008

2007

Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering.

Xuejun Sun, Walker H. Land, Ravi Samala

Proceedings of the Medical Imaging 2007: Image Processing, 2007

2006

An adaptive image segmentation process for the classification of lung biopsy images.

Daniel W. McKee, Walker H. Land, Tatyana Zhukov, Dansheng Song, Wei Qian

Proceedings of the Medical Imaging 2006: Image Processing, 2006

2005

New approach to breast cancer CAD using partial least squares and kernel-partial least squares.

Walker H. Land, John J. Heine, Mark J. Embrechts, Tom Smith, Robert Choma, Lut Wong

Proceedings of the Medical Imaging 2005: Image Processing, 2005

Applying knowledge engineering and representation methods to improve support vector machine and multivariate probabilistic neural network CAD performance.

Walker H. Land, Frances R. Anderson, Tom Smith, Stephen Fahlbusch, Robert Choma, Lut Wong

Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004

New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid.

Walker H. Land, Lut Wong, Daniel W. McKee, Timothy Masters, Frances R. Anderson, Anurag Raturi, Joseph Y. Lo

Proceedings of the Medical Imaging 2004: Image Processing, 2004

Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines.

Walker H. Land, Daniel W. McKee, Frances R. Anderson, Joseph Y. Lo

Proceedings of the Medical Imaging 2004: Image Processing, 2004

2003

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

Walker H. Land, Daniel W. McKee, Roberto Velazquez, Lut Wong, Joseph Y. Lo, Frances R. Anderson

Proceedings of the Medical Imaging 2003: Image Processing, 2003

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

Walker H. Land, Daniel W. McKee, Joseph Y. Lo, Frances R. Anderson

Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002

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

Walker H. Land, Anab Akanda, Joseph Y. Lo, Francis Anderson, Margaret Bryden

Proceedings of the Medical Imaging 2002: Image Processing, 2002

Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms.

Walker H. Land, Margaret Bryden, Joseph Y. Lo, Daniel W. McKee, Frances R. Anderson

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification.

Walker H. Land, Timothy D. Masters, Joseph Y. Lo, Daniel W. McKee

Proceedings of the Medical Imaging 2001: Image Processing, 2001

2000

Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis.

Joseph Y. Lo, Walker H. Land, Clayton T. Morrison

Proceedings of the Medical Imaging 2000: Image Processing, 2000

Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms.

Walker H. Land, Timothy D. Masters, Joseph Y. Lo

Proceedings of the Medical Imaging 2000: Image Processing, 2000

1999

Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis.

Joseph Y. Lo, Walker H. Land, Clayton T. Morrison

Proceedings of the International Joint Conference Neural Networks, 1999

Investigation of and preliminary results for the solution of the inter-observer variability problem using fine needle aspirate (FNA) data.

Walker H. Land, Lewis Loren, Timothy Masters

Proceedings of the 1999 Congress on Evolutionary Computation, 1999