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Walker H. Land
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Conference and Workshop Papers
- 2008
- [c16]Xuejun Sun, Dmitry B. Goldgof, Walker H. Land:
Robust segmentation using kernel and spatial based fuzzy c-means methods on breast x-ray images. Medical Imaging: Image Processing 2008: 69143X - 2007
- [c15]Xuejun Sun, Walker H. Land, Ravi Samala:
Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering. Medical Imaging: Image Processing 2007: 65124P - 2006
- [c14]Daniel W. McKee, Walker H. Land, Tatyana Zhukov, Dansheng Song, Wei Qian:
An adaptive image segmentation process for the classification of lung biopsy images. Medical Imaging: Image Processing 2006: 614452 - 2005
- [c13]Walker H. Land, Frances R. Anderson, Tom Smith, Stephen Fahlbusch, Robert Choma, Lut Wong:
Applying knowledge engineering and representation methods to improve support vector machine and multivariate probabilistic neural network CAD performance. Medical Imaging: Image Processing 2005 - [c12]Walker H. Land, John J. Heine, Mark J. Embrechts, Tom Smith, Robert Choma, Lut Wong:
New approach to breast cancer CAD using partial least squares and kernel-partial least squares. Medical Imaging: Image Processing 2005 - 2004
- [c11]Walker H. Land, Daniel W. McKee, Frances R. Anderson, Joseph Y. Lo:
Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines. Medical Imaging: Image Processing 2004 - [c10]Walker H. Land, Lut Wong, Daniel W. McKee, Timothy Masters, Frances R. Anderson, Anurag Raturi, Joseph Y. Lo:
New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid. Medical Imaging: Image Processing 2004 - 2003
- [c9]Walker H. Land, Daniel W. McKee, Joseph Y. Lo, Frances R. Anderson:
Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions. Medical Imaging: Image Processing 2003 - [c8]Walker H. Land, Daniel W. McKee, Roberto Velazquez, Lut Wong, Joseph Y. Lo, Frances R. Anderson:
Application of support vector machines to breast cancer screening using mammogram and clinical history data. Medical Imaging: Image Processing 2003 - 2002
- [c7]Walker H. Land, Margaret Bryden, Joseph Y. Lo, Daniel W. McKee, Frances R. Anderson:
Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms. IEEE Congress on Evolutionary Computation 2002: 187-192 - [c6]Walker H. Land, Anab Akanda, Joseph Y. Lo, Francis Anderson, Margaret Bryden:
Application of support vector machines to breast cancer screening using mammogram and history data. Medical Imaging: Image Processing 2002 - 2001
- [c5]Walker H. Land, Timothy D. Masters, Joseph Y. Lo, Daniel W. McKee:
Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification. Medical Imaging: Image Processing 2001 - 2000
- [c4]Walker H. Land, Timothy D. Masters, Joseph Y. Lo:
Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. Medical Imaging: Image Processing 2000 - [c3]Joseph Y. Lo, Walker H. Land, Clayton T. Morrison:
Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis. Medical Imaging: Image Processing 2000 - 1999
- [c2]Walker H. Land, Lewis Loren, Timothy Masters:
Investigation of and preliminary results for the solution of the inter-observer variability problem using fine needle aspirate (FNA) data. CEC 1999: 1770-1780 - [c1]Joseph Y. Lo, Walker H. Land, Clayton T. Morrison:
Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis. IJCNN 1999: 3712-3716
Coauthor Index
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